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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. 4-RES-JB
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    phrases related to concealment or deception

    oai_token-act-pair · gpt-3.5-turbo

    references to deception or false identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     NEC
    -0.73
    STER
    -0.73
     ANG
    -0.64
    ENDED
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     CSV
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     Feed
    -0.62
     STATS
    -0.61
     RSS
    -0.60
     Schumer
    -0.59
     arrival
    -0.59
    POSITIVE LOGITS
    quer
    1.18
    ading
    1.07
    ior
    0.97
    ware
    0.95
    querade
    0.95
    aders
    0.91
    ÃŃa
    0.88
    ulent
    0.85
    iors
    0.85
    ito
    0.82
    Activations Density 0.012%

    No Known Activations