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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. 7-RES-JB
    11. 12563
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    Explanations

    phrases indicating someone committing or getting away with something, often negative

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating evasion or getting away with actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stem
    -0.77
    wake
    -0.74
    wash
    -0.74
    agues
    -0.73
    outer
    -0.71
    link
    -0.68
    arta
    -0.68
    ships
    -0.64
    main
    -0.64
    wordpress
    -0.63
    POSITIVE LOGITS
     impunity
    0.94
     murder
    0.88
     manslaughter
    0.78
     murdering
    0.77
     exploiting
    0.76
     Murder
    0.75
     polygamy
    0.72
     exploitation
    0.70
     plunder
    0.67
     anything
    0.65
    Activations Density 0.064%

    No Known Activations