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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. 9503
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    Explanations

    calls to action or reminders to perform specific tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases instructing or reminding readers not to forget 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
    Released
    -0.90
    cheat
    -0.85
    Domin
    -0.70
    é¾
    -0.70
    ItemTracker
    -0.70
    inals
    -0.68
     crawl
    -0.67
    Constructed
    -0.67
    dayName
    -0.66
    ackers
    -0.66
    POSITIVE LOGITS
    fulness
    0.73
    ful
    0.72
     Fraz
    0.72
    fully
    0.67
     retina
    0.67
     sweets
    0.67
     Sparkle
    0.66
     remembering
    0.65
    !:
    0.65
    ting
    0.64
    Activations Density 0.015%

    No Known Activations