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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. 4-RES-JB
    11. 1812
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to scientific studies and research findings

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

    No Comments

    Negative Logits
     diseng
    -0.75
     priv
    -0.70
     wardrobe
    -0.70
     occas
    -0.70
     amnesty
    -0.69
     legally
    -0.68
     resign
    -0.65
    ardless
    -0.64
     apost
    -0.64
     veto
    -0.63
    POSITIVE LOGITS
    Researchers
    1.18
    Scientists
    1.14
    DNA
    1.12
    MRI
    1.10
    Explore
    1.09
    Figure
    0.99
    ccording
    0.98
    Research
    0.98
    Testing
    0.98
    RESULTS
    0.97
    Activations Density 0.441%

    No Known Activations