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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. 0-RES-JB
    11. 22636
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    htaking
    -0.90
    ikini
    -0.89
    icipated
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    nyder
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    unta
    -0.74
    eteria
    -0.74
    ylum
    -0.74
    izabeth
    -0.74
    cerpt
    -0.73
    ournament
    -0.73
    POSITIVE LOGITS
     BM
    0.75
     Wikimedia
    0.68
     FS
    0.64
     BF
    0.63
    ktop
    0.63
     HF
    0.63
     Compan
    0.60
     Amer
    0.60
     deployments
    0.59
     Fargo
    0.59
    Activations Density 0.000%

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