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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. 12611
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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
    velt
    -0.65
     tumble
    -0.63
     transit
    -0.63
     terrain
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     ha
    -0.61
     wind
    -0.61
     soil
    -0.61
    iky
    -0.60
     flight
    -0.60
    uria
    -0.60
    POSITIVE LOGITS
    MAC
    0.78
    Reviewer
    0.78
    iterator
    0.76
     corrid
    0.74
    DragonMagazine
    0.72
    allows
    0.72
    aughtered
    0.72
    Recomm
    0.72
    UGC
    0.71
    Collect
    0.71
    Activations Density 0.000%

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