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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. 11-RES-JB
    11. 22261
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    Explanations

    abstracts or summaries at the beginning of a text

    oai_token-act-pair · gpt-3.5-turbo

    sections of a document that contain abstracts and introductions

    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
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    No Comments

    Negative Logits
    soDeliveryDate
    -0.77
     slightest
    -0.70
    miss
    -0.68
     baskets
    -0.65
     dared
    -0.62
     pleading
    -0.62
     missed
    -0.62
    tackle
    -0.62
     tuned
    -0.61
    Magikarp
    -0.61
    POSITIVE LOGITS
     Edit
    1.12
     Background
    1.12
    ¶
    1.08
     Overview
    1.07
     References
    0.99
    ↵
    0.98
     Differences
    0.97
     Summary
    0.96
     Approximately
    0.95
    :
    0.94
    Activations Density 0.106%

    No Known Activations