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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. 2-RES-JB
    11. 12322
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     comprom
    -0.73
     Sweeney
    -0.71
     Zucker
    -0.69
     Noon
    -0.69
     Duc
    -0.68
     Fres
    -0.67
     Coffin
    -0.65
     Raleigh
    -0.65
     Polo
    -0.64
     Mondays
    -0.64
    POSITIVE LOGITS
     overload
    0.86
    ILE
    0.74
    catch
    0.73
    arily
    0.72
    Ü
    0.69
    )].
    0.66
    ants
    0.65
    istle
    0.64
    essee
    0.64
     SELECT
    0.63
    Activations Density 0.000%

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