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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. 1-RES-JB
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    Explanations

    references to actions or accusations of wrongdoing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wrongdoing."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.78
    etic
    -0.76
    etically
    -0.72
    population
    -0.72
    ki
    -0.70
    part
    -0.69
    pop
    -0.69
    etics
    -0.69
    ku
    -0.69
    lining
    -0.68
    POSITIVE LOGITS
     wrongdoing
    1.50
     unfocusedRange
    1.06
     misconduct
    0.95
     disclosures
    0.94
     mishand
    0.92
     transgress
    0.91
     behavi
    0.85
     dealings
    0.84
     malf
    0.84
     Disclosure
    0.83
    Activations Density 0.007%

    No Known Activations