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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. 22262
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    Explanations

    phrases related to war crimes

    oai_token-act-pair · gpt-3.5-turbo

    references to war crimes and human rights violations

    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
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    No Comments

    Negative Logits
    BIT
    -0.79
    ŃĶ
    -0.78
    ãĤ¨ãĥ«
    -0.73
    ãĥ¥
    -0.73
    rez
    -0.70
    upper
    -0.70
    ivas
    -0.69
    onom
    -0.68
    ãĥĥ
    -0.68
    Nav
    -0.68
    POSITIVE LOGITS
     bikini
    0.69
    ioxide
    0.69
     imitation
    0.67
     analogy
    0.62
     Tuls
    0.60
     extraord
    0.60
     pamph
    0.59
     TED
    0.58
     billionaires
    0.58
     equivalents
    0.58
    Activations Density 0.320%

    No Known Activations