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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. 12937
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    INDEX
    Explanations

    negation words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    negative statements or qualifications

    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
    Negative Logits
    miss
    -0.66
    Vers
    -0.63
    LEY
    -0.63
    ggles
    -0.63
    utt
    -0.61
    eele
    -0.59
    essim
    -0.58
    rone
    -0.58
    aughs
    -0.56
    EG
    -0.55
    POSITIVE LOGITS
     even
    1.18
     EVEN
    0.99
     ever
    0.97
     whatsoever
    0.91
     anywhere
    0.90
     EVER
    0.87
     remotely
    0.85
     anybody
    0.83
    even
    0.80
     ANY
    0.80
    Activations Density 0.365%

    No Known Activations