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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. 0-RES-JB
    6. 24248
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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
    theless
    -0.80
    nect
    -0.68
     scrolls
    -0.62
    noxious
    -0.61
    visual
    -0.61
    hound
    -0.60
     stunt
    -0.59
    verages
    -0.58
     apiece
    -0.58
    cott
    -0.58
    POSITIVE LOGITS
     am
    0.99
    enges
    0.65
     EM
    0.65
    cules
    0.64
    doms
    0.62
     Rez
    0.62
    ei
    0.62
    uminati
    0.62
    roxy
    0.59
    ublic
    0.59
    Activations Density 0.000%

    No Known Activations

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