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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. 0-RES-JB
    11. 15257
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    Explanations

    words related to rare occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    references to occurrences or events, particularly emphasizing their rarity or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    occ
    -0.77
    ener
    -0.69
    kamp
    -0.68
    erv
    -0.68
    egu
    -0.65
    aven
    -0.64
     wa
    -0.64
     guide
    -0.64
    isters
    -0.61
     lur
    -0.61
    POSITIVE LOGITS
     occurrence
    2.98
     occurrences
    2.23
    Shot
    1.52
     incidence
    0.95
     Shot
    0.84
    rences
    0.84
     offic
    0.79
     rarity
    0.76
     coincidence
    0.75
     Conversation
    0.68
    Activations Density 0.024%

    No Known Activations