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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 18120
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    INDEX
    Explanations

    phrases indicating a large quantity or significance

    oai_token-act-pair · gpt-3.5-turbo

    expressions of abundance or excess

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    breakers
    -0.76
    ilk
    -0.73
    merce
    -0.72
    while
    -0.71
    buster
    -0.70
    ares
    -0.69
    stocks
    -0.68
    era
    -0.68
    allows
    -0.68
    runs
    -0.67
    POSITIVE LOGITS
     similarities
    1.08
     overlap
    0.99
     similarity
    0.86
     difference
    0.85
     discrepancy
    0.84
     disagreement
    0.82
     reason
    0.81
     evidence
    0.79
     anecdotal
    0.78
     parallels
    0.78
    Activations Density 0.125%

    No Known Activations