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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. 23653
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    INDEX
    Explanations

    references to specific names or entities mentioned in the context

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with politics and culture

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ugh
    -0.69
    ividual
    -0.67
    WAYS
    -0.65
    leground
    -0.65
    aniel
    -0.63
     withd
    -0.63
    with
    -0.62
    allery
    -0.62
    }{
    -0.61
    bah
    -0.57
    POSITIVE LOGITS
     attached
    1.03
     intact
    1.02
     backing
    0.91
     looming
    0.90
     enabled
    0.87
     strapped
    0.80
     thrown
    0.79
     afore
    0.79
     impunity
    0.78
     draped
    0.77
    Activations Density 0.647%

    No Known Activations