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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. 14637
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    Explanations

    mentions of things considered slender or thin

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being slim or thin

    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
     citation
    -0.78
    DCS
    -0.74
    rique
    -0.65
     Occupations
    -0.64
    Mobil
    -0.63
     Hosp
    -0.63
    NAT
    -0.62
     Watching
    -0.61
     Ù
    -0.61
     Abuse
    -0.60
    POSITIVE LOGITS
    ming
    1.18
    med
    1.08
    tty
    0.85
    y
    0.81
    ples
    0.79
     waist
    0.79
    ethy
    0.78
    ily
    0.77
    ideshow
    0.76
    suit
    0.75
    Activations Density 0.012%

    No Known Activations