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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. 442
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    INDEX
    Explanations

    sections of programming code snippets related to functions and parameters

    oai_token-act-pair · gpt-3.5-turbo

    function and method definitions in programming code

    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
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    Negative Logits
     kindly
    -0.79
     smugglers
    -0.72
     electr
    -0.68
     concluded
    -0.66
     deficits
    -0.66
     pale
    -0.66
     dece
    -0.65
     disappear
    -0.65
     raiding
    -0.64
     quo
    -0.64
    POSITIVE LOGITS
    ctx
    1.22
    context
    1.21
    input
    1.20
    options
    1.18
    ...)
    1.18
    target
    1.16
    new
    1.16
    ())
    1.15
    params
    1.15
    filename
    1.14
    Activations Density 0.039%

    No Known Activations