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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. 4-RES-JB
    11. 16182
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     caption
    -0.72
    iom
    -0.66
    major
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    tub
    -0.59
     Prior
    -0.58
    projects
    -0.57
    sg
    -0.57
    umb
    -0.57
     Norman
    -0.57
    circ
    -0.56
    POSITIVE LOGITS
    awaru
    0.82
    ktop
    0.81
    enei
    0.80
    avanaugh
    0.76
    ifter
    0.75
    byss
    0.74
    rophic
    0.72
     ensl
    0.68
     manslaughter
    0.68
    rament
    0.68
    Activations Density 0.000%

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