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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. 8-RES-JB
    11. 6849
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    INDEX
    Explanations

    questions and uncertainties expressed in text

    oai_token-act-pair · gpt-3.5-turbo

    questions and concerns about individual behavior and circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     export
    -0.78
     mechan
    -0.75
     exported
    -0.72
     corrid
    -0.68
    eware
    -0.68
     artisan
    -0.68
     ancestor
    -0.66
     pioneered
    -0.65
     imported
    -0.64
     geometric
    -0.64
    POSITIVE LOGITS
    inventoryQuantity
    1.00
     apologizing
    0.85
     apologized
    0.80
     remorse
    0.77
     apology
    0.73
     demeanor
    0.73
     Rosenstein
    0.71
     flashbacks
    0.70
     Corker
    0.70
    Asked
    0.68
    Activations Density 1.132%

    No Known Activations