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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of hunger

    oai_token-act-pair · gpt-3.5-turbo

    references to hunger and the state of being hungry

    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
    Not in Any Lists

    No Comments

    Negative Logits
     CLSID
    -0.81
    idine
    -0.78
    Downloadha
    -0.74
     Offic
    -0.71
    BuyableInstoreAndOnline
    -0.69
    oqu
    -0.67
     Unloaded
    -0.66
    perty
    -0.64
    edu
    -0.64
    ffen
    -0.64
    POSITIVE LOGITS
     hungry
    1.03
     meals
    0.90
     ghosts
    0.88
     thirsty
    0.85
    ness
    0.82
     Hungry
    0.80
     lions
    0.76
     starving
    0.76
     citiz
    0.76
     souls
    0.74
    Activations Density 0.011%

    No Known Activations