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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. 16685
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    INDEX
    Explanations

    phrases indicating proof, demonstration, or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    repetitive affirmations or statements of fact

    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
    uty
    -0.72
    efe
    -0.72
    ensed
    -0.70
    ptoms
    -0.66
    roth
    -0.65
    rack
    -0.64
    WER
    -0.64
    ridor
    -0.64
    orf
    -0.63
    backer
    -0.62
    POSITIVE LOGITS
     there
    0.97
     they
    0.93
     we
    0.87
     someday
    0.86
     although
    0.85
     despite
    0.80
     THEY
    0.79
     everything
    0.78
     somehow
    0.74
     whatever
    0.71
    Activations Density 0.187%

    No Known Activations