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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. 1-RES-JB
    6. 15094
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    INDEX
    Explanations
    No Explanations Found
    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
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    Negative Logits
     atmosphere
    -0.72
     unsett
    -0.70
     amplified
    -0.69
     aqu
    -0.68
    ente
    -0.68
    ciplinary
    -0.67
     outpost
    -0.66
     overpower
    -0.65
     aggress
    -0.65
    ¬¼
    -0.65
    POSITIVE LOGITS
    BSD
    0.76
    ĺħ
    0.73
    PsyNetMessage
    0.70
    fork
    0.68
    leigh
    0.68
     Bulgar
    0.67
    ographically
    0.67
     Veget
    0.66
    yip
    0.66
    gets
    0.66
    Activations Density 0.000%

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