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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. 9020
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    INDEX
    Explanations

    numerical values and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    aura
    -0.59
     usefulness
    -0.58
    vice
    -0.58
    umption
    -0.56
    lication
    -0.55
    rology
    -0.53
    ults
    -0.53
    urus
    -0.53
     monog
    -0.53
    alez
    -0.50
    POSITIVE LOGITS
    years
    0.95
    uously
    0.94
     miles
    0.93
     inches
    0.92
     times
    0.92
     kilometers
    0.89
    inches
    0.89
     dimensional
    0.88
     years
    0.87
    een
    0.84
    Activations Density 0.174%

    No Known Activations