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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. 6-RES-JB
    6. 10
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    INDEX
    Explanations

    phrases related to accusations or denials of wrongdoing

    oai_token-act-pair · gpt-3.5-turbo

    references to violations or misconduct

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etically
    -0.84
    NetMessage
    -0.83
    pop
    -0.67
    osphere
    -0.66
    etics
    -0.64
    etic
    -0.64
    iku
    -0.62
    population
    -0.61
    ofi
    -0.61
     butterflies
    -0.59
    POSITIVE LOGITS
     wrongdoing
    1.03
     misconduct
    0.94
     allegations
    0.85
     perpetrated
    0.85
     unfocusedRange
    0.79
     involving
    0.78
     targeting
    0.78
     disclosures
    0.77
    ionage
    0.77
    onduct
    0.76
    Activations Density 0.066%

    No Known Activations