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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. 4-RES-JB
    11. 130
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    Explanations

    mentions of terrorist-related words or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to terrorist activities and individuals

    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
    laus
    -0.88
    shire
    -0.79
    elf
    -0.79
    galitarian
    -0.76
    )=(
    -0.75
    aver
    -0.73
    ðĿ
    -0.72
    ais
    -0.72
    endum
    -0.70
    ership
    -0.68
    POSITIVE LOGITS
     mastermind
    1.04
     terrorist
    1.02
     bombings
    0.98
     bombing
    0.96
     bombers
    0.96
     terrorists
    0.96
    abad
    0.96
     terrorism
    0.90
    terrorist
    0.88
     attacks
    0.86
    Activations Density 0.018%

    No Known Activations