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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. 7-RES-JB
    11. 8880
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks indicating separation or lists within sentences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.77
    INTON
    -0.67
    rio
    -0.67
    oward
    -0.67
    ãĤ¢ãĥ«
    -0.65
    abouts
    -0.63
    ãĤ¦ãĤ¹
    -0.63
    ¬¼
    -0.63
    IGHT
    -0.63
    ģĸ
    -0.60
    POSITIVE LOGITS
     etc
    0.89
    sed
    0.77
     whereas
    0.72
     namely
    0.71
    etc
    0.69
    tumblr
    0.67
     which
    0.67
     nutritional
    0.64
    Footnote
    0.64
     plus
    0.63
    Activations Density 0.397%

    No Known Activations