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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. 23082
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    Explanations

    mentions of mental health-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to mental health issues

    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
    eous
    -0.69
    HER
    -0.68
    eled
    -0.68
    VEN
    -0.67
    tip
    -0.65
    hou
    -0.64
     Mandatory
    -0.63
    Buy
    -0.62
    hire
    -0.62
     Zuckerberg
    -0.62
    POSITIVE LOGITS
     illness
    1.26
     illnesses
    1.08
     health
    1.05
     disorders
    1.05
    health
    1.04
     retard
    1.01
     anguish
    0.98
     toughness
    0.97
     defic
    0.96
     disorder
    0.92
    Activations Density 0.027%

    No Known Activations