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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. 2210
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    INDEX
    Explanations

    percentage-related information

    oai_token-act-pair · gpt-3.5-turbo

    specific percentages and statistical data

    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
    actionDate
    -0.60
    IRT
    -0.59
    ratulations
    -0.56
    quickShipAvailable
    -0.56
     DRAG
    -0.55
     Chamberlain
    -0.55
    hammad
    -0.54
    phrase
    -0.54
    orge
    -0.53
     Whitman
    -0.53
    POSITIVE LOGITS
    %
    1.97
     percent
    1.95
    %,
    1.77
    %"
    1.76
    %.
    1.74
    %)
    1.71
    %;
    1.69
    %-
    1.69
    %).
    1.65
    %),
    1.61
    Activations Density 0.152%

    No Known Activations