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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. 10-RES-JB
    11. 5319
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    Explanations

    patterns or pattern-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to patterns and their variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascular
    -0.78
    omez
    -0.72
    venture
    -0.72
    ULTS
    -0.70
    grim
    -0.65
    vez
    -0.65
    rican
    -0.65
    ULT
    -0.65
    iences
    -0.64
    assing
    -0.63
    POSITIVE LOGITS
     pattern
    0.93
    pattern
    0.90
     Pattern
    0.87
     patterns
    0.87
    gradient
    0.87
    Pattern
    0.87
    icity
    0.83
     Patterns
    0.79
    ĸļ
    0.78
    eering
    0.77
    Activations Density 0.031%

    No Known Activations