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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. 6-RES-JB
    11. 24449
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    Explanations

    the number '50' with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific ranked list or statistics related to the number "50"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ller
    -0.83
    ovie
    -0.71
    hunt
    -0.67
    llers
    -0.67
    cean
    -0.66
    worldly
    -0.65
     Rivals
    -0.64
    ly
    -0.64
    zyme
    -0.63
    phrine
    -0.61
    POSITIVE LOGITS
     Shades
    1.27
    wagen
    1.00
    %-
    0.99
    ¢
    0.95
    ishers
    0.94
     cents
    0.93
    Percent
    0.91
    %;
    0.90
    percent
    0.89
    %"
    0.87
    Activations Density 0.049%

    No Known Activations