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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. 1-RES-JB
    11. 566
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    andem
    -0.72
     Recover
    -0.70
    myra
    -0.68
    mart
    -0.66
     AGA
    -0.65
    ixt
    -0.63
     VS
    -0.62
    »Ĵ
    -0.61
     batted
    -0.60
    vs
    -0.60
    POSITIVE LOGITS
     awaits
    0.73
     Garrison
    0.61
     Krug
    0.60
     resides
    0.59
     yacht
    0.59
    pload
    0.58
     berth
    0.58
    iles
    0.57
    eers
    0.57
     Editors
    0.56
    Activations Density 0.000%

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