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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. 2-RES-JB
    11. 23172
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    Explanations

    phrases related to a specific type of drink, specifically pints

    oai_token-act-pair · gpt-3.5-turbo

    references to pint-sized containers, beverages, or portions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perse
    -0.82
    pha
    -0.80
    PRES
    -0.78
    HCR
    -0.77
    ¥µ
    -0.75
    phe
    -0.75
    ©¶æ
    -0.75
    gebra
    -0.73
    ffen
    -0.73
    SOURCE
    -0.72
    POSITIVE LOGITS
    ature
    0.95
    atures
    0.85
     pint
    0.83
    leness
    0.83
    alore
    0.74
    uple
    0.72
     jar
    0.71
     jars
    0.71
    olicy
    0.70
    istani
    0.68
    Activations Density 0.011%

    No Known Activations