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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. 4-RES-JB
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    Explanations

    mentions of the word "alcohol" at various levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to alcohol and its effects

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

    No Comments

    Negative Logits
     Telecom
    -0.78
     Kaw
    -0.72
     Doct
    -0.72
     Postal
    -0.70
     Goff
    -0.70
     Pon
    -0.69
    Dear
    -0.68
     Dear
    -0.66
    views
    -0.66
     Desk
    -0.66
    POSITIVE LOGITS
     alcohol
    1.10
    cohol
    1.08
     intoxication
    1.06
     intox
    1.03
    ocaust
    1.02
     beverages
    1.02
     dehyd
    1.01
     poisoning
    1.01
     beverage
    0.99
     drinkers
    0.96
    Activations Density 0.013%

    No Known Activations