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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. 23024
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    Explanations

    phrases related to nutrition and dietary habits

    oai_token-act-pair · gpt-3.5-turbo

    references to nutritional information and needs

    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
    76561
    -0.77
     Stellar
    -0.73
     Templar
    -0.73
    bley
    -0.72
    pload
    -0.70
     Freem
    -0.69
     Naval
    -0.68
    peak
    -0.68
     Siem
    -0.68
     paranormal
    -0.66
    POSITIVE LOGITS
    rition
    1.23
    ritional
    1.21
    rients
    1.09
     supplements
    1.04
    aceutical
    1.04
    etics
    1.03
     nutrition
    1.00
    etic
    0.92
     nutrit
    0.92
     nutritional
    0.91
    Activations Density 0.024%

    No Known Activations