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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. 9501
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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
    phabet
    -0.73
    reddits
    -0.66
     Hound
    -0.63
     Fork
    -0.61
    hemy
    -0.60
     ESV
    -0.59
    tek
    -0.59
     Bunker
    -0.59
     Bots
    -0.59
    bee
    -0.59
    POSITIVE LOGITS
     sovere
    0.78
     nonex
    0.77
    RNA
    0.70
    existence
    0.67
     Krish
    0.64
    anium
    0.63
    anu
    0.63
    女
    0.62
    primary
    0.61
    nuclear
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.