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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. 4-RES-JB
    11. 2222
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     à¨
    -0.73
    etary
    -0.71
    cy
    -0.68
    76561
    -0.68
    alogue
    -0.67
    ellation
    -0.67
    icum
    -0.67
    FTWARE
    -0.67
    iman
    -0.66
    \":
    -0.65
    POSITIVE LOGITS
    ¾
    0.75
    fusc
    0.75
    ints
    0.68
     Troll
    0.65
     Scores
    0.65
     Fey
    0.63
    inks
    0.62
     Scare
    0.62
    antics
    0.62
    esters
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.