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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. 1456
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals mentioned in legal or news contexts

    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
    pha
    -0.87
    hur
    -0.81
    binary
    -0.80
    ilial
    -0.78
    istries
    -0.78
    ctica
    -0.77
    oops
    -0.75
    idad
    -0.74
    amaz
    -0.74
    ctic
    -0.73
    POSITIVE LOGITS
    burgh
    0.95
    lements
    0.83
    sburg
    0.78
    asus
    0.74
    bilt
    0.73
     Chun
    0.72
    lace
    0.71
     Steele
    0.71
    FIELD
    0.70
    kamp
    0.70
    Activations Density 0.021%

    No Known Activations