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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. 6-RES-JB
    11. 7422
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    INDEX
    Explanations

    adjectives or adverbs indicating extremity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating scarcity or limited occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.63
    obin
    -0.63
    edin
    -0.62
    iph
    -0.61
    idon
    -0.59
     Undead
    -0.59
    hz
    -0.59
    ás
    -0.59
     Pixie
    -0.58
    emen
    -0.58
    POSITIVE LOGITS
    etheless
    0.69
     bets
    0.66
    ":""},{"
    0.65
    rupulous
    0.64
    thirds
    0.63
     analysts
    0.63
    conservancy
    0.60
    compan
    0.58
     observers
    0.57
     automakers
    0.56
    Activations Density 0.394%

    No Known Activations