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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. 6-RES-JB
    6. 8435
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    Explanations

    numerical statistics related to performance in sports or other fields

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and performance metrics related to sports

    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
     merchant
    -0.75
     snapshot
    -0.68
     dock
    -0.66
     cosmetics
    -0.66
     broch
    -0.64
     multicultural
    -0.64
     independence
    -0.63
     CES
    -0.61
     UNESCO
    -0.61
     grocer
    -0.61
    POSITIVE LOGITS
    5
    0.82
    avi
    0.80
    62
    0.79
    png
    0.79
    25
    0.76
    8
    0.76
    06
    0.76
    mp
    0.75
    6
    0.74
    jpg
    0.74
    Activations Density 0.080%

    No Known Activations