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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. 2-RES-JB
    11. 8019
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    INDEX
    Explanations

    mentions of sports figures and teams

    oai_token-act-pair · gpt-3.5-turbo

    references to specific college football coaches and teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eenth
    -0.81
    ories
    -0.74
    fired
    -0.74
    krit
    -0.71
    ppel
    -0.69
    chest
    -0.69
    ivity
    -0.68
    olulu
    -0.67
    ruck
    -0.67
    hent
    -0.67
    POSITIVE LOGITS
     Saban
    1.09
     Tide
    0.90
    keyes
    0.87
    etric
    0.72
    eton
    0.71
    keye
    0.71
     Crimson
    0.69
    acre
    0.69
    mson
    0.68
    etti
    0.68
    Activations Density 0.004%

    No Known Activations