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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. 22141
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    Explanations

    expressions of strong emotion or intensity, particularly fervent feelings

    oai_token-act-pair · gpt-3.5-turbo

    intense emotions or strong sentiments, particularly related to fervor and conflict

    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
    backer
    -0.71
     redacted
    -0.65
     pegged
    -0.61
    word
    -0.60
    hops
    -0.59
    clips
    -0.58
     recall
    -0.58
    rs
    -0.58
    omes
    -0.56
     Markets
    -0.56
    POSITIVE LOGITS
    orously
    1.52
    orous
    1.50
    ently
    1.38
    idity
    1.31
    our
    1.28
    ulous
    1.24
    aciously
    1.24
    uously
    1.23
    acious
    1.22
    ulously
    1.19
    Activations Density 0.106%

    No Known Activations