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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. 9-RES-JB
    11. 4848
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to robotics and engineering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Corruption
    -0.75
    cens
    -0.75
     blame
    -0.72
    column
    -0.70
    ghazi
    -0.69
    iatus
    -0.69
     eviction
    -0.67
     stale
    -0.67
    Column
    -0.67
     blames
    -0.66
    POSITIVE LOGITS
     prototypes
    1.40
     prototype
    1.37
     patents
    1.22
     inventor
    1.19
     inventions
    1.18
     technology
    1.18
     invention
    1.18
     technologies
    1.15
     Prototype
    1.12
     patent
    1.12
    Activations Density 1.637%

    No Known Activations