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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. 5050
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    Explanations

    statements about the main focus or subject matter of a given context

    oai_token-act-pair · gpt-3.5-turbo

    statements about the nature and focus of discussions or topics being addressed

    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
    emale
    -0.81
    areth
    -0.68
    arb
    -0.67
    bris
    -0.66
    arin
    -0.65
    aris
    -0.64
    aturally
    -0.64
    RN
    -0.63
    eri
    -0.63
    itted
    -0.62
    POSITIVE LOGITS
     about
    2.15
    about
    1.99
     ABOUT
    1.96
     About
    1.88
    About
    1.57
     regarding
    1.19
     concerning
    1.14
     bout
    0.99
     Regarding
    0.96
     respecting
    0.94
    Activations Density 0.323%

    No Known Activations