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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. 7-RES-JB
    11. 3012
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    Explanations

    phrases related to stress and hardship

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of suffering or hardship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.81
    very
    -0.79
    fml
    -0.76
    FBI
    -0.76
    wide
    -0.74
    Recommend
    -0.72
    Reviewer
    -0.71
    uania
    -0.71
    reau
    -0.70
    va
    -0.70
    POSITIVE LOGITS
     adolescence
    0.89
     adulthood
    0.84
     childhood
    0.78
     Combine
    0.74
     Scouting
    0.73
     infancy
    0.73
     childbirth
    0.69
     Neal
    0.68
     humankind
    0.68
     solitude
    0.67
    Activations Density 0.234%

    No Known Activations