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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. 11-RES-JB
    11. 13571
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    Explanations

    mentions of issues related to water, such as contamination, supply, and availability

    oai_token-act-pair · gpt-3.5-turbo

    mentions of water supply and quality issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.85
    assis
    -0.85
    selage
    -0.78
     Torment
    -0.72
     Joined
    -0.70
     Wife
    -0.69
    igmat
    -0.69
    asio
    -0.68
     Married
    -0.68
    pload
    -0.67
    POSITIVE LOGITS
     supply
    1.11
    melon
    1.11
     supplies
    1.05
     conservation
    1.02
     fluor
    1.00
     reservoirs
    1.00
     wells
    0.98
     pipes
    0.96
     contamination
    0.95
    loo
    0.94
    Activations Density 0.058%

    No Known Activations