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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. 3-RES-JB
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    Explanations

    mentions of medical conditions, especially disorders such as ADHD, dyslexia, anxiety disorder, and others

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mental and neurological disorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    din
    -0.66
     Pil
    -0.65
    eworld
    -0.64
     trad
    -0.62
    mitt
    -0.62
     Paid
    -0.62
     Dollar
    -0.62
    env
    -0.61
    riel
    -0.61
    hetti
    -0.60
    POSITIVE LOGITS
     disorder
    1.05
     disorders
    1.02
     Disorders
    0.95
     worsen
    0.90
     diagnoses
    0.84
     Disorder
    0.83
     worsened
    0.81
     psychosis
    0.79
    ipolar
    0.79
    encies
    0.79
    Activations Density 0.013%

    No Known Activations