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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. 6054
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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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    No Comments

    Negative Logits
    aden
    -0.79
    kernel
    -0.69
     WARRANT
    -0.69
     strand
    -0.67
     charism
    -0.66
    oen
    -0.64
     spilled
    -0.64
     helic
    -0.63
    rongh
    -0.63
     detriment
    -0.63
    POSITIVE LOGITS
    ãĥ¼ãĥĨ
    0.82
    ¶æ
    0.75
    umbn
    0.71
    Eat
    0.66
     ###
    0.66
    byss
    0.65
     Hert
    0.65
     ECO
    0.64
     Compton
    0.63
    ãĥ¼ãĤ¯
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.