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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. 4-RES-JB
    11. 24536
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    Explanations

    names of political figures and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles related to people and locations

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

    No Comments

    Negative Logits
    argon
    -0.83
    halla
    -0.80
    oted
    -0.78
    ographs
    -0.77
    kaya
    -0.77
    GF
    -0.76
    ĪĴ
    -0.72
    Seattle
    -0.71
    insula
    -0.70
    ¥µ
    -0.70
    POSITIVE LOGITS
     Byrne
    1.09
     Duffy
    0.88
     McCann
    0.82
    ctl
    0.80
     Gael
    0.80
     Clare
    0.76
     gard
    0.75
     Corm
    0.74
    patrick
    0.72
    colour
    0.71
    Activations Density 0.027%

    No Known Activations