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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. 15780
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    Explanations

    the French word "du" followed by a number (e.g., du 9)

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "du" indicating recurring subjects or themes, particularly related to titles or specific entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.80
     Opportun
    -0.76
    ãģĨ
    -0.74
    ISC
    -0.72
    dayName
    -0.71
     Across
    -0.70
    lus
    -0.70
     Habit
    -0.69
     Residents
    -0.68
    sburgh
    -0.68
    POSITIVE LOGITS
     du
    0.95
     jour
    0.93
    illard
    0.73
    ching
    0.71
    bone
    0.71
    pee
    0.71
    ples
    0.70
    pling
    0.69
    heed
    0.69
    isine
    0.68
    Activations Density 0.006%

    No Known Activations