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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. 9-RES-JB
    11. 2535
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    oai_token-act-pair · gpt-3.5-turbo
    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
     actionGroup
    -0.74
    ensions
    -0.70
    perate
    -0.68
     footing
    -0.66
     shoulders
    -0.65
    ilings
    -0.64
    umi
    -0.63
    redo
    -0.62
    untled
    -0.62
    ternity
    -0.60
    POSITIVE LOGITS
     about
    0.91
     ABOUT
    0.78
     happens
    0.73
     happened
    0.72
     happening
    0.66
     About
    0.65
     happen
    0.65
     uncovered
    0.60
    ï¸ı
    0.60
     moment
    0.58
    Activations Density 0.093%

    No Known Activations