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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. 13106
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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
    mma
    -0.72
    eway
    -0.65
    Æ
    -0.64
    omy
    -0.63
    âĹ¼
    -0.62
    xon
    -0.60
     Elijah
    -0.59
    eur
    -0.59
     relativity
    -0.58
    javascript
    -0.58
    POSITIVE LOGITS
    ADRA
    0.86
    ĵĺ
    0.70
    ivation
    0.69
    mares
    0.69
    ribute
    0.68
     Scythe
    0.67
    umenthal
    0.67
    CLASSIFIED
    0.65
    ARA
    0.61
     buy
    0.61
    Activations Density 0.000%

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