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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. 9-RES-JB
    11. 1568
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occurrences
    -0.64
     Mortal
    -0.61
     Composite
    -0.61
     occurrence
    -0.59
    代
    -0.59
     Crescent
    -0.58
    mol
    -0.58
    isu
    -0.57
     entropy
    -0.57
     Linear
    -0.57
    POSITIVE LOGITS
    Democrats
    1.13
    Republicans
    1.10
     campaigning
    1.09
     centrist
    1.09
     campaigned
    1.08
    Republican
    1.08
     Democrats
    1.06
     caucus
    1.06
    Senate
    1.06
     presidential
    1.04
    Activations Density 1.181%

    No Known Activations