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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5617
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    Explanations

    phrases related to political motives or plans

    oai_token-act-pair · gpt-3.5-turbo

    references to political agendas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iability
    -0.86
    avin
    -0.76
    igi
    -0.72
    BuyableInstoreAndOnline
    -0.72
    unte
    -0.71
    apy
    -0.70
    ania
    -0.70
    vation
    -0.69
    âĵĺ
    -0.68
    eri
    -0.66
    POSITIVE LOGITS
     agenda
    1.01
    eers
    0.88
     agendas
    0.87
    eering
    0.85
    matic
    0.82
     item
    0.76
     creep
    0.76
    geist
    0.75
    olicy
    0.73
    posts
    0.71
    Activations Density 0.043%

    No Known Activations