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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. 1-RES-JB
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    Explanations

    phrases related to stressful situations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to stress and anxiety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.96
    arations
    -0.83
    izons
    -0.81
    lev
    -0.76
    gments
    -0.71
    oil
    -0.70
    DragonMagazine
    -0.70
    Merit
    -0.67
    adia
    -0.64
    lik
    -0.64
    POSITIVE LOGITS
     stressful
    1.04
    ORPG
    0.87
     Stress
    0.80
    entimes
    0.79
    ullivan
    0.78
    achine
    0.74
     situations
    0.73
    cffff
    0.73
     paced
    0.72
     stress
    0.70
    Activations Density 0.012%

    No Known Activations