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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. 10-RES-JB
    11. 21798
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    Explanations

    references to film or theater sets

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "set"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibly
    -0.77
    IBLE
    -0.68
    issance
    -0.66
    ãĤĭ
    -0.63
    vernment
    -0.63
    ï¸ı
    -0.62
    anced
    -0.60
     Authority
    -0.59
    BLE
    -0.59
    loo
    -0.58
    POSITIVE LOGITS
    tle
    1.14
    ter
    1.00
    list
    0.99
    ters
    0.98
    chell
    0.98
    offs
    0.97
    lists
    0.94
    meal
    0.93
    upt
    0.90
    tering
    0.87
    Activations Density 0.037%

    No Known Activations