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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. 18995
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    Explanations

    accusations or allegations of wrongdoing or misconduct

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate accusations or blame

    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
     Mehran
    -0.74
    alde
    -0.74
    til
    -0.69
    Tokens
    -0.67
    ocket
    -0.66
     reperto
    -0.63
    then
    -0.63
    aths
    -0.63
    udo
    -0.63
    options
    -0.63
    POSITIVE LOGITS
     wrongdoing
    0.95
     conspiring
    0.94
     violating
    0.92
     misconduct
    0.88
     committing
    0.87
     being
    0.87
     hypocrisy
    0.84
     having
    0.84
     extremism
    0.80
     racism
    0.80
    Activations Density 0.052%

    No Known Activations