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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. 7895
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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
    pler
    -0.70
    oth
    -0.63
    ples
    -0.62
     tipped
    -0.62
     deadline
    -0.60
     standby
    -0.59
    ageddon
    -0.57
    bull
    -0.57
     tong
    -0.57
     deadlines
    -0.56
    POSITIVE LOGITS
    çĶ°
    0.71
    iage
    0.70
    DEV
    0.70
    ernels
    0.66
    aples
    0.64
    LEASE
    0.64
    nard
    0.63
     Mellon
    0.63
    BAT
    0.63
    CLASSIFIED
    0.63
    Activations Density 0.000%

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    This feature has no known activations.