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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. 10-RES-JB
    6. 8764
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    INDEX
    Explanations

    percentages or statistical figures

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     philos
    -0.75
     sourcing
    -0.69
     parach
    -0.68
     distilled
    -0.67
     snowball
    -0.66
     pudding
    -0.65
     stocking
    -0.65
     recycling
    -0.64
     masc
    -0.64
     stim
    -0.64
    POSITIVE LOGITS
    9
    1.37
    5
    1.37
    95
    1.33
    97
    1.32
    6
    1.32
    7
    1.31
    8
    1.31
    98
    1.27
    93
    1.27
    96
    1.25
    Activations Density 0.067%

    No Known Activations