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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. 2-RES-JB
    11. 17704
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    Explanations

    discussions or mentions of reading

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the act of reading

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortality
    -0.86
    ascal
    -0.75
    xon
    -0.73
    orp
    -0.72
    VC
    -0.71
    redo
    -0.70
    pload
    -0.70
    afort
    -0.67
    VP
    -0.67
    ella
    -0.66
    POSITIVE LOGITS
     comprehension
    1.19
     aloud
    1.14
    ied
    0.90
    just
    0.84
     reading
    0.80
     readings
    0.78
    ying
    0.77
     Reading
    0.75
     glasses
    0.69
    reading
    0.69
    Activations Density 0.017%

    No Known Activations