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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. 8-RES-JB
    11. 15129
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    Explanations

    phrases related to dining events or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to dinner events or gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ignty
    -0.79
    rity
    -0.71
     Controlled
    -0.68
     Archangel
    -0.65
    vernment
    -0.65
     Occupations
    -0.65
     Powers
    -0.63
    oidal
    -0.63
    ounty
    -0.62
     Agency
    -0.62
    POSITIVE LOGITS
     dinners
    1.09
     dinner
    1.08
     meal
    1.02
     invitations
    1.00
     guests
    1.00
     meals
    0.99
     supper
    0.99
     buffet
    0.98
    bowl
    0.98
    cloth
    0.93
    Activations Density 0.035%

    No Known Activations