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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. 14220
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    INDEX
    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly names, in the text

    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
    DNA
    -0.88
    ept
    -0.75
    Demand
    -0.70
    egal
    -0.70
    original
    -0.69
    omething
    -0.69
    spring
    -0.69
    Inside
    -0.66
    Phones
    -0.64
    ablishment
    -0.64
    POSITIVE LOGITS
     Fletcher
    1.34
    letcher
    1.21
     Cox
    0.78
    bilt
    0.77
     Skinner
    0.75
     Reeves
    0.74
     Benson
    0.73
     Frazier
    0.72
     Pratt
    0.70
     Henderson
    0.70
    Activations Density 0.007%

    No Known Activations