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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12637
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    Explanations

    phrases related to water issues and crises

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking water issues and crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assis
    -0.81
     Torment
    -0.76
    rehend
    -0.70
    zzy
    -0.70
    oldemort
    -0.69
     Joined
    -0.69
    astically
    -0.67
     Poe
    -0.67
    oidal
    -0.65
     Flesh
    -0.65
    POSITIVE LOGITS
     supply
    1.05
     supplies
    0.99
     fluor
    0.93
     shortages
    0.93
     heater
    0.93
     sanitation
    0.92
     conservation
    0.91
     advis
    0.90
     reservoirs
    0.90
    melon
    0.89
    Activations Density 0.084%

    No Known Activations