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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. 0-RES-JB
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    Explanations

    mentions of specific names and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those with the surname "Norton" and geographic mentions like "Nottingham" and "Sheffield."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angel
    -0.70
    TE
    -0.70
    BALL
    -0.68
    kered
    -0.67
     FL
    -0.66
    ization
    -0.66
     hook
    -0.65
     Growth
    -0.64
     piv
    -0.63
    Î
    -0.63
    POSITIVE LOGITS
     Norton
    4.29
     Norris
    1.71
     Nottingham
    1.13
     Cunningham
    1.10
     Dawson
    1.09
     Thornton
    1.06
    nr
    1.06
     Sutton
    0.99
     Sutherland
    0.97
     Nero
    0.96
    Activations Density 0.019%

    No Known Activations