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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. 3-RES-JB
    11. 16403
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    Explanations

    words related to negative or harmful actions, specifically focusing on aggression or violence

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to violence and malevolence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ovember
    -0.87
    ainers
    -0.77
    è£ħ
    -0.77
    arest
    -0.74
    ANA
    -0.73
    bind
    -0.72
    ourced
    -0.72
    grain
    -0.71
    veland
    -0.70
    Downloadha
    -0.70
    POSITIVE LOGITS
     intent
    0.96
     tendencies
    0.94
     mischief
    0.90
     strugg
    0.89
     undermin
    0.89
     maniac
    0.88
     dictator
    0.88
     desp
    0.87
     mastermind
    0.86
     plotting
    0.85
    Activations Density 0.047%

    No Known Activations