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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 505
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    Explanations

    phrases related to ethical or problematic practices involving animals or food production

    oai_token-act-pair · gpt-3.5-turbo

    topics related to animal welfare and industrial farming practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.90
    ĺħ
    -0.88
     Divinity
    -0.86
    Reddit
    -0.76
    vind
    -0.73
    angular
    -0.72
     {\
    -0.72
    Merit
    -0.71
    Lenin
    -0.70
     Wem
    -0.67
    POSITIVE LOGITS
     additives
    0.93
     GMO
    0.90
     chemicals
    0.89
     diets
    0.88
     medicines
    0.87
     stockp
    0.85
     marketed
    0.85
     pesticides
    0.85
     bans
    0.84
     domestically
    0.83
    Activations Density 0.346%

    No Known Activations