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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. 10-RES-JB
    11. 8409
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    Explanations

    timestamps and editing information within text

    oai_token-act-pair · gpt-3.5-turbo

    specific timestamps and date formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ospace
    -0.85
     briefs
    -0.76
    £ı
    -0.74
    oola
    -0.66
    href
    -0.65
     solicitor
    -0.65
     pestic
    -0.64
    endiary
    -0.64
     Bronx
    -0.63
     educators
    -0.62
    POSITIVE LOGITS
     02
    0.64
     07
    0.63
     Starcraft
    0.63
     05
    0.62
     tournament
    0.61
     09
    0.61
     06
    0.61
    azo
    0.60
     04
    0.60
     ;;
    0.60
    Activations Density 0.029%

    No Known Activations