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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. 17245
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    Explanations

    phrases related to coffee and cafe culture

    oai_token-act-pair · gpt-3.5-turbo

    references to coffee culture and related social gatherings

    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
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    No Comments

    Negative Logits
     Gir
    -1.09
    etr
    -0.92
     Herod
    -0.91
     Giuliani
    -0.85
    atellite
    -0.85
    yss
    -0.83
     Osiris
    -0.83
     Viper
    -0.83
    Veh
    -0.82
    ombat
    -0.81
    POSITIVE LOGITS
     coffee
    2.30
     Coffee
    2.20
     Starbucks
    2.18
     espresso
    2.13
     caffe
    1.91
     coff
    1.87
     caffeine
    1.84
     brewed
    1.83
     cups
    1.66
     cup
    1.65
    Activations Density 0.169%

    No Known Activations