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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. 5-RES-JB
    6. 8589
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    INDEX
    Explanations

    words related to processes involving heat or cooking

    oai_token-act-pair · gpt-3.5-turbo

    terms related to boiling and cooking processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.88
    ournal
    -0.88
    stood
    -0.78
    dfx
    -0.78
    prises
    -0.78
    mble
    -0.75
    eele
    -0.74
     ende
    -0.74
    alez
    -0.74
     Agency
    -0.74
    POSITIVE LOGITS
     boiling
    1.14
     boils
    1.12
     boiled
    1.10
     boil
    1.07
     kettle
    0.99
     simmer
    0.95
    stall
    0.79
     stove
    0.79
    SourceFile
    0.76
     arsenic
    0.75
    Activations Density 0.022%

    No Known Activations