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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. 8-RES-JB
    11. 24230
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    INDEX
    Explanations

    quantities or numerical figures mentioned in a context

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate numerical quantities or estimations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ainment
    -0.68
     luc
    -0.67
    ahime
    -0.64
     medi
    -0.62
     guidance
    -0.61
     timing
    -0.59
     Settlement
    -0.59
     professionalism
    -0.58
    atography
    -0.57
     smack
    -0.56
    POSITIVE LOGITS
    pload
    1.02
    dozen
    0.90
     dozen
    0.89
    untled
    0.87
     thousands
    0.83
     hundred
    0.83
     thousand
    0.81
    ousand
    0.79
    agues
    0.78
    agements
    0.77
    Activations Density 0.108%

    No Known Activations