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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. 16245
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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
    akuya
    -0.85
    odka
    -0.76
    ocrates
    -0.73
    iltration
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    ymph
    -0.72
    itar
    -0.70
     Sirius
    -0.69
    atically
    -0.68
    rha
    -0.67
    ional
    -0.67
    POSITIVE LOGITS
     Coffin
    0.77
     DN
    0.76
     NCT
    0.74
    jee
    0.69
     retina
    0.67
     Frie
    0.67
    Depth
    0.65
     Journals
    0.63
    deal
    0.63
     Ct
    0.60
    Activations Density 0.000%

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