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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. 11-RES-JB
    11. 1417
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    Explanations

    pairs of related items or concepts that come in twos

    oai_token-act-pair · gpt-3.5-turbo

    references to pairs or grouped items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocrats
    -0.79
    renches
    -0.76
    lems
    -0.76
    sites
    -0.75
    items
    -0.75
    idences
    -0.74
    apest
    -0.74
    bits
    -0.73
    rollers
    -0.73
    NRS
    -0.73
    POSITIVE LOGITS
     apiece
    0.94
     pertaining
    0.84
     consisting
    0.83
     representing
    0.78
     hundred
    0.77
     containing
    0.73
     belonging
    0.73
     relating
    0.71
     assumes
    0.71
     called
    0.71
    Activations Density 0.065%

    No Known Activations