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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. 7-RES-JB
    11. 3800
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    Explanations

    phrases describing the utilization of various tools or technologies by different entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "by" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    redits
    -0.75
    aminer
    -0.73
    edin
    -0.73
    stakes
    -0.71
    itled
    -0.70
    bia
    -0.70
    uality
    -0.68
    chrome
    -0.67
    agate
    -0.66
    cles
    -0.65
    POSITIVE LOGITS
     virtue
    1.08
    products
    0.92
     passers
    0.91
     outsiders
    0.85
     consumers
    0.82
     policymakers
    0.81
     investors
    0.80
     anyone
    0.80
     regulators
    0.79
     beginners
    0.79
    Activations Density 0.115%

    No Known Activations