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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. 3-RES-JB
    11. 4959
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    umn
    -0.78
    ortment
    -0.74
    anwhile
    -0.73
     hail
    -0.68
     Errors
    -0.65
    uncture
    -0.64
    assetsadobe
    -0.63
     distances
    -0.62
    imilar
    -0.61
     qualify
    -0.60
    POSITIVE LOGITS
    izu
    0.68
     Ventura
    0.66
     Arkham
    0.63
     Syl
    0.63
    hov
    0.62
    Pal
    0.62
    pixel
    0.61
    layer
    0.60
    Mods
    0.60
    berry
    0.59
    Activations Density 0.000%

    No Known Activations

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