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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. 3-RES-JB
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    Explanations

    mentions of alcoholic drinks

    oai_token-act-pair · gpt-3.5-turbo

    references to drinks and drinking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REM
    -0.63
     Brach
    -0.62
     Sharif
    -0.62
    ortex
    -0.60
     notch
    -0.59
    compl
    -0.58
    66666666
    -0.58
    theless
    -0.57
    NBC
    -0.57
     Postal
    -0.56
    POSITIVE LOGITS
     Drink
    1.21
     drinkers
    1.18
     drink
    1.11
    cohol
    1.06
     drinks
    1.01
     beverages
    1.01
     beverage
    0.97
     drinking
    0.92
    water
    0.92
     brewed
    0.91
    Activations Density 0.020%

    No Known Activations