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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. 2-RES-JB
    11. 5566
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĪĴ
    -0.85
    icio
    -0.78
     Cats
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     Cruel
    -0.71
     Surveillance
    -0.70
    Pie
    -0.67
     Wool
    -0.66
     Mech
    -0.64
     Veter
    -0.62
    ĥ
    -0.61
    POSITIVE LOGITS
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    alties
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    agra
    0.72
    spot
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    amping
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    gered
    0.70
    luaj
    0.70
    ambo
    0.68
    xual
    0.67
    allery
    0.65
    Activations Density 0.000%

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