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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. 1-RES-JB
    11. 22690
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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
    ÙĴ
    -0.73
    lander
    -0.66
     scoring
    -0.65
    done
    -0.64
    à¨
    -0.64
    TYPE
    -0.63
    ··
    -0.63
    _-
    -0.62
    pen
    -0.61
    gravity
    -0.61
    POSITIVE LOGITS
    ograp
    0.77
    agnar
    0.72
     antid
    0.71
    zos
    0.71
    istor
    0.70
     therape
    0.69
     electroly
    0.68
    acebook
    0.68
    ocobo
    0.67
    umbn
    0.66
    Activations Density 0.000%

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