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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 10784
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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
    à¦
    -0.77
    iband
    -0.70
    tein
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    opa
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     pedals
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    ghai
    -0.67
     brakes
    -0.65
    andowski
    -0.65
    tarian
    -0.62
    duino
    -0.62
    POSITIVE LOGITS
     corpus
    0.74
     Fein
    0.67
    alde
    0.67
     Hers
    0.65
     Corpus
    0.65
    iche
    0.64
     Neph
    0.63
     Fey
    0.63
     Leh
    0.62
     paran
    0.62
    Activations Density 0.000%

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