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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 9871
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to investigations and reports related to news or data disclosures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     preferably
    -0.71
    itely
    -0.70
    must
    -0.70
     depends
    -0.70
    ":"/
    -0.69
    =-=-=-=-=-=-=-=-
    -0.66
     SHALL
    -0.64
     suffice
    -0.62
    please
    -0.60
     TBA
    -0.60
    POSITIVE LOGITS
     indicating
    1.10
     suggesting
    1.09
     showing
    1.02
     revealing
    0.99
     alleging
    0.97
     accusing
    0.97
     highlighting
    0.96
     earlier
    0.96
     wherein
    0.95
     announcing
    0.95
    Activations Density 0.430%

    No Known Activations