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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. 17495
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    INDEX
    Explanations

    mentions of vegan-related ingredients and dietary choices

    oai_token-act-pair · gpt-3.5-turbo

    references to vegan-related concepts and food

    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
    hower
    -0.79
     lobe
    -0.74
    frames
    -0.74
     Fargo
    -0.69
    INGS
    -0.69
    mith
    -0.68
    hare
    -0.67
    OPA
    -0.67
    manship
    -0.67
    attr
    -0.67
    POSITIVE LOGITS
    ism
    0.91
    ohydrate
    0.87
    istani
    0.86
     diet
    0.85
     Nadu
    0.83
     friendly
    0.80
     diets
    0.78
     lifestyle
    0.77
     vegan
    0.77
     butter
    0.76
    Activations Density 0.019%

    No Known Activations