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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. 15357
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    Explanations

    instances where numerical values indicating the order or quantity of something are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to specific quantities of items or time periods

    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
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.72
     unfocusedRange
    -0.67
    BIL
    -0.66
    zsche
    -0.62
    HY
    -0.61
    itech
    -0.61
    Sync
    -0.61
    mbuds
    -0.61
    GRE
    -0.60
    rawdownloadcloneembedreportprint
    -0.60
    POSITIVE LOGITS
    imester
    0.94
     paragraphs
    0.90
     digits
    0.86
     iterations
    0.85
     stages
    0.84
    teen
    0.83
     chapters
    0.82
    ieth
    0.80
     months
    0.79
     sections
    0.77
    Activations Density 0.059%

    No Known Activations