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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. 8-RES-JB
    11. 11752
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    Explanations

    actions or behaviors related to public conduct and safety, such as sitting or lying on sidewalks, discussing moving things, or speeding by and shouting vulgar language

    oai_token-act-pair · gpt-3.5-turbo

    references to public disturbances or issues related to people in public spaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.86
    ãĤ´ãĥ³
    -0.73
    isSpecialOrderable
    -0.73
    vana
    -0.73
     timeline
    -0.71
     powerhouse
    -0.70
     revised
    -0.70
     Blueprint
    -0.70
     successor
    -0.67
    elman
    -0.67
    POSITIVE LOGITS
     illegally
    1.11
     drunk
    1.07
     intoxicated
    1.00
     tresp
    0.99
     burgl
    0.97
     thefts
    0.96
     prostitutes
    0.96
     unsafe
    0.95
     toilets
    0.94
    pread
    0.92
    Activations Density 0.968%

    No Known Activations