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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. 6620
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical data, specifically dates and figures

    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
    yang
    -0.71
     Prescott
    -0.70
    paio
    -0.69
    glers
    -0.66
    laus
    -0.62
    ukong
    -0.62
    igators
    -0.61
    essor
    -0.61
    anta
    -0.60
    ilib
    -0.60
    POSITIVE LOGITS
    PF
    0.78
    mber
    0.75
    )=(
    0.71
    tenance
    0.70
    avascript
    0.65
    ths
    0.64
    RF
    0.62
    jured
    0.61
    JB
    0.61
     ILCS
    0.60
    Activations Density 0.071%

    No Known Activations