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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. 12-RES-JB
    11. 4845
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    INDEX
    Explanations

    references to specific events such as speeches, news reports, and tweet interactions

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to authority figures or official statements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     overseen
    -0.81
    eware
    -0.80
     Mehran
    -0.77
    ufact
    -0.76
    !.
    -0.72
    ãĤ´
    -0.71
    [_
    -0.71
    doms
    -0.71
    work
    -0.69
    til
    -0.68
    POSITIVE LOGITS
     implication
    1.12
     outburst
    1.11
     uproar
    1.03
     hashtag
    1.02
     remark
    0.98
     outcry
    0.98
     clip
    0.97
     backlash
    0.96
     congressman
    0.96
     interviewer
    0.96
    Activations Density 0.375%

    No Known Activations