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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. 11-RES-JB
    11. 4096
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    Explanations

    mentions of medical conditions such as Zika and related health issues

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related conditions and their occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     democratically
    -0.84
    egal
    -0.83
    forts
    -0.82
    oeuv
    -0.80
    galitarian
    -0.79
    ensable
    -0.79
    ļéĨĴ
    -0.78
    Tokens
    -0.77
    ternally
    -0.75
    dinand
    -0.74
    POSITIVE LOGITS
     outbreaks
    1.42
     uptick
    1.37
     spike
    1.26
     sightings
    1.26
     incidents
    1.21
     Outbreak
    1.20
     outbreak
    1.19
     incidence
    1.19
     alarming
    1.17
     worrisome
    1.12
    Activations Density 0.577%

    No Known Activations