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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. 16162
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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
    Not in Any Lists

    No Comments

    Negative Logits
    Tokens
    -0.82
    inventoryQuantity
    -0.67
    oxin
    -0.63
    DO
    -0.62
    IER
    -0.61
     STE
    -0.59
     collaborated
    -0.58
     perk
    -0.57
    FE
    -0.57
    akura
    -0.57
    POSITIVE LOGITS
    cies
    0.77
    und
    0.73
    doms
    0.73
    thus
    0.72
    >)
    0.72
     Cecil
    0.69
    tan
    0.68
    lees
    0.68
    aths
    0.66
    rities
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.