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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7522
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    Explanations

    phrases related to mental disorders

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various mental disorders

    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
    stanbul
    -0.80
    baugh
    -0.71
    mination
    -0.70
     suspic
    -0.70
    riel
    -0.68
    raltar
    -0.68
    Sources
    -0.67
    sheet
    -0.66
     snipp
    -0.65
    fired
    -0.64
    POSITIVE LOGITS
     diagnoses
    1.12
     diagnosis
    1.05
     disorders
    1.03
     symptoms
    0.99
     disorder
    0.99
     Symptoms
    0.98
     spectrum
    0.95
     Disorders
    0.92
     symptom
    0.92
     worsen
    0.91
    Activations Density 0.056%

    No Known Activations