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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. 10-RES-JB
    11. 8248
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    Explanations

    phrases related to the impact or influence on a broad group of people or communities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "many" people or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.68
     depreciation
    -0.63
    bows
    -0.63
    xon
    -0.60
     Definitive
    -0.59
    enhagen
    -0.59
     motto
    -0.59
     exaggeration
    -0.58
    Son
    -0.58
    BuyableInstoreAndOnline
    -0.57
    POSITIVE LOGITS
     individuals
    1.07
     stakeholders
    0.99
     households
    0.98
     people
    0.97
     Americans
    0.95
     Canadians
    0.94
     users
    0.92
     peoples
    0.90
     citizens
    0.89
     consumers
    0.89
    Activations Density 0.220%

    No Known Activations