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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. 21102
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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
    OUGH
    -0.70
     GOT
    -0.64
    planes
    -0.63
     referen
    -0.63
    igel
    -0.62
     strength
    -0.58
    ortunately
    -0.58
    iti
    -0.57
     Angus
    -0.57
    Merit
    -0.57
    POSITIVE LOGITS
    abouts
    0.85
    Tes
    0.74
    proxy
    0.70
    xual
    0.68
    asis
    0.67
    bum
    0.66
    ovies
    0.64
     orphans
    0.62
    tons
    0.62
    girls
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.