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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. 7-RES-JB
    11. 8492
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    Explanations

    numbers related to percentages or rankings

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 50, particularly in the context of rankings or percentiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ller
    -0.84
    ovie
    -0.74
    ly
    -0.71
    cean
    -0.67
    hunt
    -0.67
    llers
    -0.65
    worldly
    -0.64
    xual
    -0.62
     Rivals
    -0.61
     teased
    -0.61
    POSITIVE LOGITS
     Shades
    1.31
    %-
    1.00
    wagen
    1.00
    ¢
    0.97
    ishers
    0.96
    %
    0.91
    Percent
    0.91
     cents
    0.90
    percent
    0.90
    Hz
    0.89
    Activations Density 0.050%

    No Known Activations