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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. 1-RES-JB
    11. 5406
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    INDEX
    Explanations

    concepts or ideas that are considered fundamental or essential

    oai_token-act-pair · gpt-3.5-turbo

    statements that emphasize fundamental changes or differences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Purchase
    -0.71
     Leone
    -0.71
    umper
    -0.69
     Chronicle
    -0.67
     Ducks
    -0.66
     Collect
    -0.64
    tein
    -0.64
     Ventura
    -0.62
     skies
    -0.62
     supervisors
    -0.62
    POSITIVE LOGITS
     fundamentally
    0.88
     proble
    0.75
    ãĤ´ãĥ³
    0.74
     redef
    0.74
     differe
    0.74
     transforming
    0.73
     rethink
    0.73
    urity
    0.72
     underpin
    0.72
     resh
    0.72
    Activations Density 0.005%

    No Known Activations