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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. 350
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    INDEX
    Explanations

    design-related terms or features

    oai_token-act-pair · gpt-3.5-turbo

    references to various aspects of design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    essional
    -0.83
     Witnesses
    -0.81
    nikov
    -0.78
     Arist
    -0.78
    cffffcc
    -0.72
     Lauder
    -0.72
     Ago
    -0.72
    rican
    -0.71
    selves
    -0.66
     Yard
    -0.66
    POSITIVE LOGITS
    ators
    0.99
    yout
    0.98
     design
    0.95
     designs
    0.89
    ator
    0.88
    ations
    0.84
     redesign
    0.84
     flaw
    0.82
    ates
    0.82
     designer
    0.80
    Activations Density 0.029%

    No Known Activations