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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. 4-RES-JB
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    Explanations

    terms related to healthy lifestyle choices and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, fitness, and lifestyle choices

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

    No Comments

    Negative Logits
     Paramount
    -0.77
     dispatch
    -0.73
    USS
    -0.72
    witz
    -0.72
    ovie
    -0.69
     Siem
    -0.67
     Printed
    -0.66
    inosaur
    -0.66
     Naval
    -0.66
     Viz
    -0.66
    POSITIVE LOGITS
     lifestyle
    1.18
    esity
    1.08
     unhealthy
    1.08
     diet
    1.08
     healthier
    1.07
    ohydrate
    1.05
     metabolism
    1.00
     hormones
    1.00
     obesity
    0.99
     habits
    0.99
    Activations Density 0.154%

    No Known Activations