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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. 8-RES-JB
    11. 8112
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    INDEX
    Explanations

    uses of expressiveness and punctuation marks, especially commas

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks or pauses in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.72
    itionally
    -0.68
    ãĥ´
    -0.67
    currently
    -0.66
    iet
    -0.62
    inates
    -0.62
    ain
    -0.61
    oir
    -0.60
     alright
    -0.59
    wan
    -0.59
    POSITIVE LOGITS
     Goldstein
    0.72
     there
    0.66
    there
    0.66
    orsi
    0.66
    atever
    0.64
     Hoffman
    0.64
     Lange
    0.60
     Journalists
    0.60
     combatants
    0.58
     attackers
    0.58
    Activations Density 0.259%

    No Known Activations