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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. 20981
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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
    NSA
    -0.79
     Intelligence
    -0.74
    stal
    -0.69
     MSM
    -0.67
     Scouting
    -0.61
    hani
    -0.61
    NFL
    -0.61
     recruiting
    -0.61
     informing
    -0.60
    thur
    -0.60
    POSITIVE LOGITS
    panic
    0.83
    Ô
    0.76
    terday
    0.73
    Scope
    0.69
    bars
    0.68
    .$
    0.66
     Scope
    0.66
    scope
    0.65
     scope
    0.65
     Bellev
    0.63
    Activations Density 0.000%

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