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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. 16536
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    Explanations

    phrases related to Japanese culture and terminology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific cultural references or terms

    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
     Accountability
    -0.88
     Applicant
    -0.84
     Task
    -0.82
    Real
    -0.82
     Rack
    -0.81
     Governments
    -0.81
     Opportun
    -0.81
     Employ
    -0.80
    CLASSIFIED
    -0.80
     Target
    -0.77
    POSITIVE LOGITS
    ensis
    1.19
    utic
    0.99
     mushrooms
    0.93
     beetle
    0.90
    xual
    0.89
     flower
    0.89
     trees
    0.88
     berries
    0.87
     dancers
    0.84
     tree
    0.84
    Activations Density 0.232%

    No Known Activations