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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. 1-RES-JB
    11. 13888
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    Explanations

    mentions of strong desires or cravings for something

    oai_token-act-pair · gpt-3.5-turbo

    references to a desire or craving, particularly for food or consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chester
    -0.76
    oning
    -0.74
    rah
    -0.71
     Universities
    -0.67
     Sor
    -0.64
     Planetary
    -0.63
    DCS
    -0.62
    stood
    -0.62
    oho
    -0.62
     Nich
    -0.62
    POSITIVE LOGITS
     appetite
    1.63
     appet
    1.10
    oleon
    0.97
     hungry
    0.94
     eater
    0.89
     hunger
    0.85
     thirst
    0.83
     craving
    0.83
     unden
    0.79
    jriwal
    0.79
    Activations Density 0.008%

    No Known Activations