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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. 3-RES-JB
    11. 20978
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    Explanations

    references to specific sports teams within a city

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or names related to significant events or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liga
    -0.73
    hack
    -0.68
    idden
    -0.66
    ema
    -0.63
    FM
    -0.62
     motorcycles
    -0.61
    folk
    -0.61
     Yamaha
    -0.58
    MG
    -0.57
     Trojan
    -0.57
    POSITIVE LOGITS
    âĸĪâĸĪ
    0.91
    âĸĪâĸĪâĸĪâĸĪ
    0.77
     sqor
    0.73
    jured
    0.71
    arts
    0.70
    rick
    0.67
     STAR
    0.66
    aples
    0.64
     POW
    0.64
    rock
    0.63
    Activations Density 0.000%

    No Known Activations