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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. 6-RES-JB
    11. 10805
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    Explanations

    references to different types of juices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of juice and related liquids

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.71
     Osw
    -0.69
    ARGET
    -0.66
    herty
    -0.64
     Citizenship
    -0.63
     Athe
    -0.62
    seen
    -0.62
     stricter
    -0.62
    sight
    -0.61
    alker
    -0.61
    POSITIVE LOGITS
     juice
    1.20
     juices
    1.05
     Juice
    1.00
    fruit
    0.87
     conco
    0.85
     potions
    0.81
     drink
    0.81
     beverage
    0.80
     berries
    0.80
     dispens
    0.80
    Activations Density 0.019%

    No Known Activations