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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. 6031
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    Explanations

    words related to accusations of wrongdoing or misconduct

    oai_token-act-pair · gpt-3.5-turbo

    terms related to wrongdoing or misconduct

    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
    ERC
    -0.78
    etically
    -0.74
    cise
    -0.72
    ertility
    -0.71
    UNCH
    -0.70
    entary
    -0.68
    pop
    -0.67
    cube
    -0.65
    enta
    -0.64
    REL
    -0.63
    POSITIVE LOGITS
     perpetrated
    1.29
     allegations
    1.11
     scandals
    1.06
     committed
    1.05
     wrongdoing
    0.98
     misconduct
    0.95
     inflicted
    0.93
     accusations
    0.91
     disclosures
    0.88
     violations
    0.87
    Activations Density 0.204%

    No Known Activations