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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. 2-RES-JB
    11. 11918
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    INDEX
    Explanations

    numerical values that represent maximum limits or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to maximum limits or capacities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bane
    -0.86
     Fever
    -0.76
    rums
    -0.76
     Guys
    -0.73
    perse
    -0.73
    FORE
    -0.72
    walk
    -0.72
    CT
    -0.71
    fle
    -0.71
    Sov
    -0.70
    POSITIVE LOGITS
     allowable
    1.04
     amount
    1.01
     maximum
    0.97
    nesota
    0.95
    egal
    0.94
     extent
    0.92
     punishment
    0.85
     amounts
    0.85
     likelihood
    0.84
     concentration
    0.82
    Activations Density 0.006%

    No Known Activations