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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. 952
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    Explanations

    descriptions of physical settings and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or events

    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
    Additionally
    -0.83
    Therefore
    -0.83
    Conclusion
    -0.81
     Additionally
    -0.75
    Furthermore
    -0.73
    biased
    -0.73
     utilizing
    -0.72
    \",
    -0.72
     stated
    -0.71
     [+
    -0.70
    POSITIVE LOGITS
     indign
    0.76
    —"
    0.72
     strangers
    0.71
     thrill
    0.71
     murm
    0.71
     scarcely
    0.71
     marvel
    0.71
     exhilar
    0.70
     grinning
    0.69
     downstairs
    0.68
    Activations Density 1.994%

    No Known Activations