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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. 23324
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    INDEX
    Explanations

    signals or mentions of the word "signal"

    oai_token-act-pair · gpt-3.5-turbo

    references to signals and their significance

    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
    amily
    -0.84
    sm
    -0.78
    uum
    -0.74
    vre
    -0.72
    yright
    -0.70
    venge
    -0.69
    eenth
    -0.68
    erenn
    -0.67
    sect
    -0.67
    jury
    -0.66
    POSITIVE LOGITS
     handlers
    1.00
     signals
    0.93
     handler
    0.88
     emanating
    0.85
     signal
    0.80
     emitted
    0.78
    eering
    0.78
     transmissions
    0.77
     inputs
    0.76
     propagation
    0.76
    Activations Density 0.039%

    No Known Activations