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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 5898
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    Explanations

    addresses, locations, and contact information

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values or identifiers related to locations and addresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vous
    -0.59
     WATCHED
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     BF
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     bandwagon
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     Lemon
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     Beats
    -0.55
     Pin
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     Idle
    -0.55
    iaries
    -0.54
     versus
    -0.54
    POSITIVE LOGITS
    118
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    201
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    402
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    108
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    102
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    104
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    202
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    103
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    123
    0.69
    109
    0.69
    Activations Density 0.020%

    No Known Activations