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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. 14892
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    Explanations

    food-related words, specifically related to local or regional specialties

    oai_token-act-pair · gpt-3.5-turbo

    references to staples or foundational elements within specific contexts or categories

    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
    */(
    -0.78
    erity
    -0.78
    ħĭ
    -0.73
    Redditor
    -0.71
     hereby
    -0.71
    »Ĵ
    -0.70
    LED
    -0.68
    âĺ
    -0.66
    ĪĴ
    -0.66
    heit
    -0.65
    POSITIVE LOGITS
     1969
    1.05
     1975
    1.04
     postwar
    1.03
     1968
    1.03
     1974
    1.03
     1971
    1.02
     1932
    1.01
     1979
    1.01
     1960
    1.01
     1927
    1.01
    Activations Density 0.736%

    No Known Activations