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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. 9-RES-JB
    11. 18486
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    Explanations

    words related to geographical locations, particularly focusing on regions such as Oceania and certain countries in Asia

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific letters or letter combinations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancial
    -0.78
    enegger
    -0.70
     virginity
    -0.64
     ris
    -0.64
    INESS
    -0.63
     caution
    -0.61
    rooms
    -0.61
     futures
    -0.59
     narrator
    -0.57
     invari
    -0.57
    POSITIVE LOGITS
    ana
    0.97
    ka
    0.92
    ko
    0.89
    aga
    0.89
    fa
    0.83
    anas
    0.83
    leck
    0.83
    ola
    0.83
    aqu
    0.82
    ga
    0.82
    Activations Density 0.134%

    No Known Activations