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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. 1-RES-JB
    11. 8803
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    Explanations

    references to being inducted or honored in a Hall of Fame

    oai_token-act-pair · gpt-3.5-turbo

    references to various Halls of Fame across different sports and entertainment sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acted
    -0.64
    MR
    -0.64
    olves
    -0.63
     hem
    -0.61
     kinetic
    -0.61
    resp
    -0.60
    alam
    -0.60
    ean
    -0.59
    ear
    -0.59
     Aber
    -0.59
    POSITIVE LOGITS
     Fame
    1.41
    rities
    1.04
    ilial
    1.00
    brance
    0.95
     Trophy
    0.88
     plaque
    0.84
    naire
    0.81
     induct
    0.80
    qus
    0.79
     laure
    0.79
    Activations Density 0.009%

    No Known Activations