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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. 10-RES-JB
    11. 24342
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    Explanations

    email subscription-related phrases with emphasis on the action of receiving

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating promises or expectations of future actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é¾įå¥ij士
    -0.66
    quickShipAvailable
    -0.63
    weed
    -0.62
    grim
    -0.61
     elusive
    -0.58
    versions
    -0.57
    UTERS
    -0.55
    gn
    -0.55
    bugs
    -0.54
    ractical
    -0.53
    POSITIVE LOGITS
     receive
    0.86
     indemn
    0.73
     hereby
    0.67
     unsub
    0.62
     incur
    0.61
    icka
    0.60
     subscrib
    0.59
    ãĤº
    0.58
    rss
    0.58
    ÃĥÃĤ
    0.58
    Activations Density 0.022%

    No Known Activations