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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. 3-RES-JB
    11. 5460
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    Explanations

    references to achievements or acknowledgments, particularly being on a podium

    oai_token-act-pair · gpt-3.5-turbo

    references to podiums and related contexts in competitive or formal settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omal
    -0.71
    ISTORY
    -0.70
    versely
    -0.68
    olver
    -0.68
    alg
    -0.64
    vironments
    -0.64
    ju
    -0.64
    laus
    -0.64
    cise
    -0.63
     Wonderland
    -0.62
    POSITIVE LOGITS
     podium
    1.22
     stalls
    0.84
     seiz
    0.84
    olicy
    0.83
     speeches
    0.82
    pter
    0.78
     showc
    0.77
     pedest
    0.76
    antry
    0.75
     floor
    0.72
    Activations Density 0.010%

    No Known Activations