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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. 8-RES-JB
    11. 11612
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    Explanations

    terms related to stress and coping mechanisms

    oai_token-act-pair · gpt-3.5-turbo

    references to stress and its effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VICE
    -0.71
    vernment
    -0.65
    arger
    -0.61
    izons
    -0.61
    naissance
    -0.61
    axies
    -0.59
    yright
    -0.58
    HCR
    -0.56
    guyen
    -0.56
    tarians
    -0.56
    POSITIVE LOGITS
    ors
    1.04
     reliever
    0.99
    imaru
    0.87
     cooker
    0.85
     hormones
    0.83
    or
    0.80
     hormone
    0.80
    stress
    0.76
    trap
    0.75
    iness
    0.74
    Activations Density 0.032%

    No Known Activations