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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. 3735
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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
    Not in Any Lists

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    Negative Logits
    ahu
    -0.74
    peak
    -0.69
     Lumpur
    -0.69
    ihad
    -0.65
    emi
    -0.65
     superflu
    -0.64
    ogyn
    -0.64
     plur
    -0.64
    yip
    -0.63
    conservancy
    -0.62
    POSITIVE LOGITS
    bilt
    0.80
    ITION
    0.68
     Wonders
    0.67
     Opp
    0.67
     Braun
    0.66
     Crew
    0.65
    displayText
    0.62
    Frames
    0.61
    ._
    0.61
    ription
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.