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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 18361
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    Explanations

    colons in dialogue

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and dialogue indicators in conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behavi
    -0.79
    inement
    -0.77
    uggest
    -0.74
    avorite
    -0.73
    undai
    -0.72
     arrang
    -0.71
     veter
    -0.71
    poons
    -0.69
    anyl
    -0.69
    itage
    -0.69
    POSITIVE LOGITS
     Yeah
    0.90
     TBD
    0.85
     Who
    0.82
     Bye
    0.81
     Provided
    0.80
    YES
    0.75
     Impossible
    0.73
     Letter
    0.72
     What
    0.70
     Absolutely
    0.69
    Activations Density 0.136%

    No Known Activations