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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. 7-RES-JB
    6. 13437
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     unpop
    -0.68
     stamped
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    oton
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     optional
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     antigen
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    erers
    -0.63
     parameter
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    grain
    -0.63
     gut
    -0.63
    ters
    -0.62
    POSITIVE LOGITS
     Additionally
    1.21
     His
    1.21
     Along
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     During
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     However
    1.08
     He
    1.05
     Recently
    1.02
     Known
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     Nevertheless
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     Married
    1.00
    Activations Density 0.429%

    No Known Activations