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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. 0-RES-JB
    11. 2338
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Klu
    -0.74
     Fatal
    -0.71
     Mortal
    -0.71
     Esports
    -0.68
     Situation
    -0.68
     Jungle
    -0.67
     Lilith
    -0.67
     Devil
    -0.67
     Apocalypse
    -0.67
     Coil
    -0.66
    POSITIVE LOGITS
    comings
    0.82
    ASED
    0.76
    licks
    0.76
    henko
    0.75
    voy
    0.74
    pictured
    0.72
    ected
    0.72
    psey
    0.72
     helicop
    0.70
    anch
    0.69
    Activations Density 0.000%

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