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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. 19287
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    Explanations

    instances where something is not being done or is lacking

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing negation or the absence of something

    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
    tein
    -0.70
    stakes
    -0.67
    inburgh
    -0.65
    FAQ
    -0.64
    大
    -0.64
    ÃŁ
    -0.63
     tabl
    -0.61
     PHOTO
    -0.60
    ç·
    -0.60
    realDonaldTrump
    -0.60
    POSITIVE LOGITS
    icably
    1.27
    epad
    1.25
     necessarily
    1.19
    icable
    1.11
    hin
    0.99
    eworthy
    0.95
     adequately
    0.94
    ched
    0.91
     bother
    0.85
     bothering
    0.84
    Activations Density 0.094%

    No Known Activations