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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. 2-RES-JB
    11. 7156
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    Explanations

    phrases related to stepping and foot actions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific technology-related terms or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    swick
    -0.64
     hunger
    -0.64
    Marx
    -0.61
    conn
    -0.61
     phyl
    -0.60
     grievance
    -0.60
     cath
    -0.58
    ItemThumbnailImage
    -0.58
     Marxist
    -0.58
     obj
    -0.56
    POSITIVE LOGITS
    alm
    1.07
    aps
    1.07
    olitan
    1.06
    olitics
    1.00
    olicy
    0.95
    acus
    0.94
    hemy
    0.94
    oons
    0.93
    onent
    0.92
    olit
    0.92
    Activations Density 0.007%

    No Known Activations