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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. 12650
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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
    senal
    -0.82
     Shank
    -0.79
     Antar
    -0.77
    azon
    -0.75
    hirt
    -0.70
    antry
    -0.69
    xual
    -0.67
    uria
    -0.66
     ATI
    -0.65
    agy
    -0.64
    POSITIVE LOGITS
    comes
    0.69
    SIGN
    0.69
    ISON
    0.65
    ordinary
    0.63
    odes
    0.63
    bage
    0.63
     counselling
    0.62
    reated
    0.61
     antidote
    0.60
     refuge
    0.60
    Activations Density 0.000%

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