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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. 21811
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    INDEX
    Explanations

    mentions of coffee-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to coffee and its related social settings

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ROR
    -0.75
    yss
    -0.73
    avid
    -0.70
     Exile
    -0.70
    alez
    -0.68
    imedia
    -0.67
    umber
    -0.65
    interstitial
    -0.62
    omething
    -0.62
    umbn
    -0.62
    POSITIVE LOGITS
     beans
    1.30
     brewed
    1.10
     drinkers
    1.08
     bean
    1.05
     Beans
    1.04
     cups
    1.04
    houses
    1.00
     mug
    0.96
     brewer
    0.91
     shops
    0.90
    Activations Density 0.048%

    No Known Activations