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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. 11-RES-JB
    11. 17536
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    Explanations

    information related to crime and law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating legal issues or criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     nonpartisan
    -0.73
     favor
    -0.69
     slay
    -0.67
     transformative
    -0.66
     goofy
    -0.66
     disproportionately
    -0.66
     reinvent
    -0.65
    adden
    -0.63
    BILL
    -0.62
     Millennials
    -0.62
    POSITIVE LOGITS
     enqu
    1.03
     apologised
    0.99
     CCTV
    0.92
     lia
    0.88
     reassured
    0.86
     organisers
    0.84
     apologise
    0.84
     villagers
    0.82
    GMT
    0.82
     learnt
    0.81
    Activations Density 0.629%

    No Known Activations