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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. 1430
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    INDEX
    Explanations

    numeric information, such as quantities and measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people

    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
    lly
    -0.76
    arium
    -0.75
    otype
    -0.72
    Depth
    -0.72
    dayName
    -0.71
    cape
    -0.71
    runtime
    -0.69
     Handling
    -0.68
    framework
    -0.67
    urden
    -0.66
    POSITIVE LOGITS
     friends
    0.90
     explorers
    0.89
     youths
    0.88
     adventurers
    0.88
     sorts
    0.87
     individuals
    0.85
     astronomers
    0.84
     businessmen
    0.84
     six
    0.84
     travelers
    0.84
    Activations Density 0.103%

    No Known Activations