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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. 3-RES-JB
    6. 11624
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    Explanations

    numerical values and codes

    oai_token-act-pair · gpt-3.5-turbo

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nomine
    -0.96
    annis
    -0.86
     contrace
    -0.79
     corrid
    -0.78
     neighb
    -0.74
     referen
    -0.73
     hemor
    -0.71
     misunder
    -0.70
     interf
    -0.69
    ModLoader
    -0.69
    POSITIVE LOGITS
     partName
    0.93
    df
    0.81
     attRot
    0.77
    370
    0.73
    dict
    0.72
    238
    0.71
    649
    0.70
    698
    0.70
    çļĦ
    0.70
    fc
    0.68
    Activations Density 0.122%

    No Known Activations