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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. 9788
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    Explanations

    mentions of interviews and discussions with people

    oai_token-act-pair · gpt-3.5-turbo

    references to interviews and discussions with individuals

    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
    Pg
    -0.68
     shalt
    -0.64
     icing
    -0.64
     profits
    -0.63
     ILCS
    -0.62
     cannot
    -0.61
     topp
    -0.61
     thrust
    -0.61
     bets
    -0.61
     overtake
    -0.60
    POSITIVE LOGITS
    cerning
    0.73
     representatives
    0.71
    omever
    0.67
     representative
    0.67
     Slack
    0.67
     recru
    0.66
     interviewer
    0.63
    respond
    0.62
    enhagen
    0.62
    Privacy
    0.61
    Activations Density 0.489%

    No Known Activations