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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. 11-RES-JB
    11. 14275
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported incidents or accidents involving individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Corker
    -0.88
     McConnell
    -0.82
     Everett
    -0.82
     LD
    -0.81
    MET
    -0.79
     Sears
    -0.77
     Dayton
    -0.77
     Smy
    -0.76
    verett
    -0.74
     Dale
    -0.73
    POSITIVE LOGITS
     Gu
    2.50
    Gu
    2.18
     gu
    1.93
     GU
    1.90
    gu
    1.88
    GU
    1.66
     Gupta
    1.53
     Guer
    1.47
     Guan
    1.35
     Guerrero
    1.22
    Activations Density 0.200%

    No Known Activations