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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. 23355
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    Explanations

    phrases related to specific individuals, possibly Japanese names

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in notable events or accomplishments

    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
     Croatian
    -0.67
     Egyptians
    -0.67
     Vietnamese
    -0.67
     Vietnam
    -0.66
     Cambodia
    -0.65
     Alger
    -0.64
     Croat
    -0.64
     Cambod
    -0.64
     Pigs
    -0.64
     Gaul
    -0.63
    POSITIVE LOGITS
    ashi
    1.35
    itsu
    1.32
    oshi
    1.31
    uki
    1.30
    ahime
    1.27
    umi
    1.25
    uchi
    1.24
    imaru
    1.24
    ikawa
    1.24
    ishi
    1.23
    Activations Density 0.101%

    No Known Activations