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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. 21665
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    Explanations

    references to diets and dietary habits

    oai_token-act-pair · gpt-3.5-turbo

    references to diet

    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
    AGES
    -0.70
    Topics
    -0.69
     Dam
    -0.69
     Templar
    -0.67
     Powers
    -0.65
     Avalon
    -0.64
     Morse
    -0.64
     Ans
    -0.62
     Basil
    -0.62
     bidding
    -0.61
    POSITIVE LOGITS
    oleon
    1.07
    eteria
    1.05
     diet
    1.03
    namese
    1.02
    etic
    0.98
    etics
    0.96
    rition
    0.96
    onut
    0.93
    etically
    0.89
    etus
    0.88
    Activations Density 0.007%

    No Known Activations