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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. 7-RES-JB
    11. 21353
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    Explanations

    phrases related to plant-based diets and wildlife conservation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to plant-based diets and their impact on health and the environment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.69
    Ö¼
    -0.69
     nominees
    -0.64
     Marriott
    -0.64
     diplom
    -0.61
    reshold
    -0.61
     Bundes
    -0.61
     FTA
    -0.60
     Dhabi
    -0.60
     EPS
    -0.60
    POSITIVE LOGITS
    igham
    0.76
    pel
    0.73
    utical
    0.71
    conservancy
    0.71
     Flower
    0.68
    ãĤ¼ãĤ¦ãĤ¹
    0.67
    grain
    0.67
    fresh
    0.66
    Flor
    0.66
    cer
    0.65
    Activations Density 0.414%

    No Known Activations