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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. 11-RES-JB
    11. 1137
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    INDEX
    Explanations

    data points and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numeric data related to statistics and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idis
    -0.70
    gans
    -0.68
    ifle
    -0.66
    AFTA
    -0.65
    lication
    -0.65
    OHN
    -0.64
    clave
    -0.64
     Swordsman
    -0.63
    gered
    -0.62
    medium
    -0.62
    POSITIVE LOGITS
     totals
    1.81
     percentages
    1.70
     averages
    1.67
     numbers
    1.63
     statistics
    1.60
     stats
    1.55
     estimates
    1.49
     rankings
    1.49
     graphs
    1.47
     figures
    1.47
    Activations Density 0.510%

    No Known Activations