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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. 4-RES-JB
    11. 17268
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    Explanations

    words related to stress and coping mechanisms

    oai_token-act-pair · gpt-3.5-turbo

    references to stress and its impacts

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

    No Comments

    Negative Logits
    izons
    -0.81
    VICE
    -0.74
    ettes
    -0.71
     smugg
    -0.70
    axies
    -0.70
    endar
    -0.68
    Aust
    -0.63
    HCR
    -0.62
    abet
    -0.62
    MET
    -0.62
    POSITIVE LOGITS
    stress
    0.93
     stress
    0.87
    ors
    0.84
     reliever
    0.83
     Stress
    0.81
    imaru
    0.80
    trap
    0.79
    iness
    0.75
     cooker
    0.75
    pressure
    0.74
    Activations Density 0.014%

    No Known Activations