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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. 9-RES-JB
    11. 8747
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    Explanations

    phrases related to actions and initiatives to address specific health issues or diseases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to healthcare policies and programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auga
    -0.73
     Bohem
    -0.70
    Square
    -0.69
    mint
    -0.67
     Whats
    -0.67
    paper
    -0.66
    worth
    -0.65
     Flip
    -0.64
    å·
    -0.64
    furt
    -0.64
    POSITIVE LOGITS
     mitigation
    1.14
     cure
    1.11
     punishment
    1.03
     prevention
    1.02
     cures
    1.00
     rehabilitation
    1.00
     deterrence
    0.96
     recovery
    0.95
     retribution
    0.94
     mitigate
    0.92
    Activations Density 0.226%

    No Known Activations