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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. 17049
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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
    Negative Logits
    ãĥ³
    -0.68
    ãĤ³
    -0.68
    ãĢij
    -0.67
     Guerrero
    -0.67
    ãĤ®
    -0.66
     Wonders
    -0.65
    Ven
    -0.65
     Genie
    -0.65
    balls
    -0.64
    ãĥ´
    -0.63
    POSITIVE LOGITS
    lishes
    0.71
    vernment
    0.70
    hedon
    0.69
    earances
    0.67
    shire
    0.66
    atton
    0.66
    ibilities
    0.65
    worn
    0.64
    olitical
    0.64
    attery
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.