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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. 9-RES-JB
    6. 14654
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    INDEX
    Explanations

    numerical formats with specific patterns

    oai_token-act-pair · gpt-3.5-turbo

    patterns of scoring or performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Feder
    -0.65
     Gors
    -0.64
     Jaw
    -0.61
     Quartz
    -0.61
     treat
    -0.61
     Sund
    -0.61
     horrified
    -0.61
     Examiner
    -0.60
    esa
    -0.60
     Reader
    -0.59
    POSITIVE LOGITS
    WAR
    0.85
    win
    0.81
    ranked
    0.81
    0
    0.80
    2017
    0.80
    RGB
    0.79
    1
    0.79
    EXP
    0.79
    2
    0.79
    neutral
    0.77
    Activations Density 0.044%

    No Known Activations