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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
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    Explanations

    phrases related to manipulating or coercing others

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to manipulation or coercion

    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
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    No Comments

    Negative Logits
     corpus
    -0.69
     Statistics
    -0.64
    wordpress
    -0.61
    jon
    -0.61
    clips
    -0.60
     Illustrated
    -0.60
     traced
    -0.60
     undone
    -0.59
     Bei
    -0.59
     Compton
    -0.59
    POSITIVE LOGITS
     submission
    0.91
     surrender
    0.88
     believing
    0.79
     obedience
    0.77
     heel
    0.75
    wash
    0.71
    ose
    0.71
     accepting
    0.70
    oddy
    0.70
     compliance
    0.70
    Activations Density 0.181%

    No Known Activations