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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. 4-RES-JB
    11. 11128
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    Explanations

    mentions of locations, specifically names starting with "Mon"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mon" followed by numbers, indicating various contexts related to a thematic focus on "Mon."

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

    No Comments

    Negative Logits
    OHN
    -0.94
     Norn
    -0.91
    æĸ¹
    -0.87
    éĹĺ
    -0.87
    ONSORED
    -0.84
    enegger
    -0.82
    ACTED
    -0.77
    FUL
    -0.77
    ãģį
    -0.76
    EXP
    -0.74
    POSITIVE LOGITS
    itored
    1.14
    olith
    1.11
    olithic
    1.09
    opoly
    1.00
    stros
    1.00
    astery
    0.98
    ero
    0.93
    oton
    0.91
    roe
    0.91
    secut
    0.87
    Activations Density 0.008%

    No Known Activations