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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. 15487
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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
    uez
    -0.72
    ORY
    -0.71
    ioned
    -0.70
     Destroyer
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    ional
    -0.68
    ãĥ´ãĤ¡
    -0.68
    urry
    -0.68
    adin
    -0.66
     Recomm
    -0.66
    âĦ¢:
    -0.65
    POSITIVE LOGITS
     bumper
    0.77
    achers
    0.64
     palms
    0.63
    ttle
    0.63
     landowners
    0.62
    runners
    0.61
    shots
    0.61
     settlers
    0.61
    hack
    0.60
    wolves
    0.59
    Activations Density 0.000%

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