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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 17657
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    Explanations

    words related to accusations of wrongdoing and misconduct

    oai_token-act-pair · gpt-3.5-turbo

    references to misconduct or unethical behavior

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

    No Comments

    Negative Logits
    population
    -0.78
    etically
    -0.75
    etic
    -0.72
    pop
    -0.69
    etics
    -0.68
    orph
    -0.66
    birth
    -0.65
    ixed
    -0.64
    icultural
    -0.63
     Wel
    -0.62
    POSITIVE LOGITS
     wrongdoing
    1.27
     misconduct
    0.97
     unfocusedRange
    0.90
     perpetrated
    0.88
     mishand
    0.86
     allegations
    0.86
     disclosures
    0.85
     Disclosure
    0.85
     involving
    0.81
     disclosure
    0.81
    Activations Density 0.020%

    No Known Activations