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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22107
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    Explanations

    numerical values or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and percentages

    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
     stewards
    -0.79
     inform
    -0.71
     fundament
    -0.71
    */(
    -0.70
     melanch
    -0.69
     greeting
    -0.68
     scrut
    -0.68
    ĪĴ
    -0.67
     coh
    -0.67
     eclectic
    -0.67
    POSITIVE LOGITS
    ±
    0.84
     TOTAL
    0.84
    Total
    0.79
    total
    0.79
    mean
    0.78
    6666
    0.77
     Total
    0.72
    States
    0.69
     Avg
    0.69
    "></
    0.68
    Activations Density 0.156%

    No Known Activations