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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. 6-RES-JB
    6. 3508
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    INDEX
    Explanations

    mentions of the word "Car" with numbers attached indicating a strong association

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the name "Car."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.82
    EngineDebug
    -0.81
    ãģį
    -0.80
    ãĥĥãĥĪ
    -0.78
    ĸļ
    -0.75
    é¾įå¥ij士
    -0.74
    ĪĴ
    -0.72
    043
    -0.72
    tle
    -0.70
     MSG
    -0.70
    POSITIVE LOGITS
    ousel
    1.46
    riers
    1.28
    riage
    1.22
    avan
    1.16
    rera
    1.14
    rier
    1.14
    riages
    1.12
    negie
    1.06
    olina
    1.03
    amel
    1.03
    Activations Density 0.037%

    No Known Activations