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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. 3-RES-JB
    11. 15739
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Jinn
    -0.77
     Guatemala
    -0.75
     BST
    -0.74
     Garc
    -0.71
     McMaster
    -0.71
     Chang
    -0.69
     Pell
    -0.68
     Chun
    -0.67
     Funds
    -0.65
     Pa
    -0.64
    POSITIVE LOGITS
    hunter
    0.71
    event
    0.68
    anie
    0.67
    FOX
    0.64
    mble
    0.64
    Ü
    0.64
    Fight
    0.63
    beer
    0.63
    online
    0.62
     slaughter
    0.61
    Activations Density 0.000%

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