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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. 24141
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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
    bre
    -0.85
    è¦ļéĨĴ
    -0.72
    pop
    -0.70
    Fed
    -0.69
    dust
    -0.69
     Occupations
    -0.69
    Rich
    -0.68
    ãĤ´ãĥ³
    -0.68
    Fact
    -0.68
    fore
    -0.67
    POSITIVE LOGITS
    ophical
    0.72
    autical
    0.70
    actic
    0.68
    aito
    0.66
    ouse
    0.64
    oku
    0.63
     hypot
    0.63
    yss
    0.63
    oman
    0.61
     actionGroup
    0.61
    Activations Density 0.000%

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