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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
    11. 6344
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    Explanations

    computer hardware components, particularly series and models

    oai_token-act-pair · gpt-3.5-turbo

    references to specific series, particularly in the context of sports or television

    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
     ling
    -0.77
    ety
    -0.73
     congest
    -0.68
    cair
    -0.65
    oit
    -0.65
     medd
    -0.64
     gib
    -0.64
     guessed
    -0.64
    aminer
    -0.63
    estate
    -0.63
    POSITIVE LOGITS
     Series
    3.99
    Series
    2.73
    series
    2.28
     series
    2.15
    LCS
    1.16
     Trilogy
    1.11
     trilogy
    1.04
     Season
    0.99
     Collection
    0.99
     Volume
    0.98
    Activations Density 0.011%

    No Known Activations