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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. 2217
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    Explanations

    numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    statistical metrics and measurements in numerical form

    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
    unci
    -0.76
    zek
    -0.64
    itivity
    -0.63
    icio
    -0.60
    uli
    -0.58
    ilater
    -0.58
    ACTION
    -0.58
    200000
    -0.57
    ictions
    -0.57
    ================================================================
    -0.54
    POSITIVE LOGITS
     higher
    1.58
     hotter
    1.54
     taller
    1.50
     richer
    1.48
     slower
    1.47
     shorter
    1.47
     cheaper
    1.45
     worse
    1.45
    higher
    1.42
     brighter
    1.42
    Activations Density 0.328%

    No Known Activations