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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. 3-RES-JB
    11. 9183
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    Explanations

    phrases related to specific locations or entities, potentially names or technical terms, especially with 'oga' ending

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographic locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gency
    -0.68
    advertisement
    -0.66
    paren
    -0.63
    wolves
    -0.63
    HCR
    -0.61
    sheet
    -0.61
    lies
    -0.60
    IDENT
    -0.60
     Debor
    -0.60
     Newsweek
    -0.60
    POSITIVE LOGITS
    oga
    1.37
     Springs
    1.12
    issance
    0.88
    userc
    0.81
    ota
    0.80
    uga
    0.79
    akra
    0.77
    arde
    0.77
    raham
    0.76
    pload
    0.75
    Activations Density 0.011%

    No Known Activations