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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. 9-RES-JB
    11. 17922
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    Explanations

    mentions of sports statistics or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to "actors" or "acting."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctors
    -0.74
    lets
    -0.66
    shell
    -0.66
    mons
    -0.64
    XY
    -0.63
    let
    -0.61
    ITIES
    -0.60
    floor
    -0.59
    icidal
    -0.58
    ted
    -0.58
    POSITIVE LOGITS
    hips
    1.25
    hift
    1.24
    pring
    1.00
    mith
    0.96
    hower
    0.94
    pace
    0.93
    omething
    0.92
    poons
    0.88
    heastern
    0.86
    kaya
    0.85
    Activations Density 0.059%

    No Known Activations