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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. 10-RES-JB
    11. 8074
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    Explanations

    phrases related to law enforcement actions or official actions taken with force to restrict certain activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to law enforcement actions or measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     toast
    -0.69
     Naked
    -0.62
     ç¥ŀ
    -0.62
     Incarnation
    -0.61
     Decay
    -0.60
    cube
    -0.60
     Illusion
    -0.60
     merged
    -0.60
     placeholder
    -0.60
     communion
    -0.59
    POSITIVE LOGITS
     crackdown
    1.30
     enforcement
    1.08
     enforced
    0.95
     prosecutions
    0.92
     clamp
    0.88
    illance
    0.88
    riminal
    0.87
     viol
    0.86
     enforcing
    0.86
     against
    0.85
    Activations Density 0.097%

    No Known Activations