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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. 9-RES-JB
    11. 19411
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    Explanations

    phrases related to stress or pressure

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to stress and its impact

    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
    amount
    -0.79
    uliffe
    -0.76
    etts
    -0.75
    Reviewer
    -0.73
    fml
    -0.73
    rary
    -0.73
    hesis
    -0.70
    ventus
    -0.70
    reau
    -0.69
    wrong
    -0.68
    POSITIVE LOGITS
     adulthood
    0.93
     adolescence
    0.93
     childbirth
    0.91
     impending
    0.88
     childhood
    0.88
     hindsight
    0.85
     everyday
    0.82
     confronting
    0.75
     having
    0.72
     globalization
    0.71
    Activations Density 0.243%

    No Known Activations