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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. 24396
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    Explanations

    references to water-related topics or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to water and related issues

    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
     Koen
    -0.93
     Kahn
    -0.92
    Nazis
    -0.87
    Kenn
    -0.87
     Yiannopoulos
    -0.86
    iannopoulos
    -0.86
    isode
    -0.84
     Ultron
    -0.84
    afort
    -0.84
    igmat
    -0.82
    POSITIVE LOGITS
     water
    2.18
     Water
    1.86
     groundwater
    1.83
    Water
    1.82
    water
    1.75
     freshwater
    1.75
     drainage
    1.72
     hyd
    1.68
     irrigation
    1.67
     waterways
    1.66
    Activations Density 0.447%

    No Known Activations