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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. 9-RES-JB
    11. 3042
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to rarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     conduc
    -0.69
     advis
    -0.65
    undown
    -0.57
     oun
    -0.56
     primer
    -0.56
     tremend
    -0.56
     briefs
    -0.53
     poisons
    -0.53
     psychiat
    -0.52
     sixty
    -0.52
    POSITIVE LOGITS
    3333
    0.83
    6666
    0.74
    %
    0.73
    apache
    0.69
     [+]
    0.67
    MpServer
    0.66
     ±
    0.65
    henko
    0.64
    rm
    0.63
    xon
    0.63
    Activations Density 0.067%

    No Known Activations