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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. 6-RES-JB
    11. 740
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    Explanations

    phrases related to criminal activities, assault, and violence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal charges and 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
    arten
    -0.83
    eport
    -0.81
    eus
    -0.80
    ainted
    -0.75
    baum
    -0.74
    çīĪ
    -0.74
    erd
    -0.73
    ixel
    -0.73
    idge
    -0.73
    ufact
    -0.72
    POSITIVE LOGITS
     imprisonment
    0.96
     harassment
    0.91
     persecution
    0.91
     deaths
    0.87
     vandalism
    0.86
     criminality
    0.85
     mayhem
    0.84
     violence
    0.83
     retribution
    0.82
     shootings
    0.82
    Activations Density 0.328%

    No Known Activations