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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. 4-RES-JB
    11. 16771
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    Explanations

    phrases related to water contamination or water-related crises

    oai_token-act-pair · gpt-3.5-turbo

    mentions of water-related issues, specifically focusing on the Flint water crisis

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

    No Comments

    Negative Logits
    eering
    -0.71
    Reloaded
    -0.70
    ablishment
    -0.69
    ATURE
    -0.68
    ature
    -0.68
     Torment
    -0.67
    usp
    -0.67
    ures
    -0.65
     Werewolf
    -0.65
    CRIPTION
    -0.64
    POSITIVE LOGITS
    melon
    1.37
     fluor
    0.93
     heater
    0.87
    colour
    0.87
     advis
    0.87
    falls
    0.86
    holes
    0.85
    loo
    0.85
    conservancy
    0.84
     resources
    0.84
    Activations Density 0.027%

    No Known Activations