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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. 15244
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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
    BAT
    -0.76
    PET
    -0.75
    VIEW
    -0.73
    PASS
    -0.72
    CENT
    -0.70
    BUG
    -0.68
    Diamond
    -0.68
    SET
    -0.66
    Card
    -0.66
    coat
    -0.65
    POSITIVE LOGITS
     accommod
    0.65
    aiden
    0.63
     conflicting
    0.63
    isen
    0.63
     exploited
    0.60
     Ake
    0.59
     indo
    0.59
     Indra
    0.59
     hypoc
    0.57
     Mour
    0.57
    Activations Density 0.000%

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    This feature has no known activations.