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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. 6-RES-JB
    6. 52
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    INDEX
    Explanations

    indications of medical treatments or interventions

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of taking medication or drugs

    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
    unity
    -0.84
    Guy
    -0.74
    Pie
    -0.70
    wl
    -0.67
    Fans
    -0.67
    Mario
    -0.65
    hon
    -0.65
    Publisher
    -0.65
    Pokémon
    -0.64
    nown
    -0.64
    POSITIVE LOGITS
     medication
    1.13
     medications
    1.10
     antidepressants
    0.99
     antibiotics
    0.96
     opioids
    0.91
     prescription
    0.89
     contraceptive
    0.88
     insulin
    0.87
     medicines
    0.86
     drugs
    0.86
    Activations Density 0.242%

    No Known Activations