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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. 4-RES-JB
    11. 14361
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    Explanations

    numerical values such as quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data points or statistics

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

    No Comments

    Negative Logits
    arist
    -0.62
    feature
    -0.61
    llor
    -0.59
    agents
    -0.58
    vention
    -0.58
    iterator
    -0.58
    abi
    -0.57
    aucus
    -0.57
    evin
    -0.56
    ocard
    -0.56
    POSITIVE LOGITS
     consecutive
    0.99
     percent
    0.94
     additional
    0.86
     months
    0.86
     minutes
    0.84
     weeks
    0.83
     million
    0.81
     years
    0.80
     thousand
    0.78
    %
    0.77
    Activations Density 0.416%

    No Known Activations