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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. 23323
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    Explanations

    words related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    reasons for fights and mentions of character names in various contexts

    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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    No Comments

    Negative Logits
     ),
    -0.61
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    icably
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    -0.49
    Article
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    ());
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    utm
    -0.48
    oubted
    -0.48
    POSITIVE LOGITS
    :
    2.00
    %:
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    ?:
    1.84
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    *:
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    1.70
    :"
    1.69
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    ]:
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    .:
    1.65
    Activations Density 0.510%

    No Known Activations