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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. 12094
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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
    hing
    -0.65
     savings
    -0.64
    ishable
    -0.63
    utenant
    -0.61
    âĦ¢:
    -0.61
    NetMessage
    -0.61
    grain
    -0.60
    INGS
    -0.59
     Valiant
    -0.58
    #$
    -0.57
    POSITIVE LOGITS
    ba
    0.94
    bard
    0.79
    offer
    0.74
    olon
    0.73
    arb
    0.71
    ommod
    0.66
    itars
    0.65
    amera
    0.63
    ethy
    0.62
     peg
    0.62
    Activations Density 0.000%

    No Known Activations

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