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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. 1-RES-JB
    11. 3295
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    Explanations

    numerical values or mentions of numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.92
    ossier
    -0.80
    clair
    -0.77
    POSE
    -0.76
    INTON
    -0.73
    erate
    -0.72
    ISSION
    -0.72
    rib
    -0.71
     Shroud
    -0.70
    Interstitial
    -0.70
    POSITIVE LOGITS
     numbers
    1.33
     Numbers
    1.09
     digits
    0.95
    number
    0.88
    Numbers
    0.86
     numer
    0.85
     percentages
    0.84
    mith
    0.83
     figures
    0.80
    umbers
    0.78
    Activations Density 0.016%

    No Known Activations