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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 10435
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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
     Carbuncle
    -0.89
    thood
    -0.82
    estyles
    -0.81
    士
    -0.80
     Moines
    -0.80
    ghai
    -0.78
    zona
    -0.78
    BILITIES
    -0.76
    etics
    -0.76
    gio
    -0.75
    POSITIVE LOGITS
     bip
    0.75
     arsen
    0.70
     offending
    0.70
     mand
    0.68
     claimant
    0.67
     demanding
    0.67
     deleg
    0.66
     unmarked
    0.66
     concession
    0.65
     blocking
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.