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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. 9-RES-JB
    11. 15434
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    Explanations

    words related to heat and cooking processes, specifically boiling

    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 @ 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
    ournal
    -0.78
    rahim
    -0.71
    prises
    -0.71
    Office
    -0.67
     tremend
    -0.66
     conclud
    -0.65
     ende
    -0.65
    posts
    -0.65
    abeth
    -0.65
    stood
    -0.65
    POSITIVE LOGITS
     kettle
    1.08
     boiling
    0.91
     boiled
    0.87
     boil
    0.87
     boils
    0.86
     water
    0.79
    hens
    0.78
     simmer
    0.78
     pot
    0.76
     liquor
    0.75
    Activations Density 0.085%

    No Known Activations