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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    the name "Barton" in various contexts and variations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific political figures, particularly Congressman Barton and Schweickart

    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
     pedals
    -0.84
     pedal
    -0.81
    HL
    -0.80
    LCS
    -0.74
     Forsaken
    -0.73
    MM
    -0.73
    lig
    -0.69
    ikk
    -0.69
     FedEx
    -0.67
    inyl
    -0.67
    POSITIVE LOGITS
     Barton
    3.73
     Schwe
    2.27
     Bast
    1.26
    arton
    1.19
     Mang
    1.10
     Amar
    1.05
     Garrison
    1.01
     Benn
    1.01
     Towns
    1.00
     Braz
    0.97
    Activations Density 0.036%

    No Known Activations