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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. 3-RES-JB
    11. 24303
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    Explanations

    mentions of dietary restrictions and food preferences

    oai_token-act-pair · gpt-3.5-turbo

    references to food and dietary restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uthor
    -0.85
    iHUD
    -0.84
    èĢħ
    -0.84
    æĸ¹
    -0.79
    ħĭ
    -0.73
    Student
    -0.71
    zbek
    -0.71
    KK
    -0.71
    ij士
    -0.66
    itled
    -0.65
    POSITIVE LOGITS
     dehyd
    0.85
     thirsty
    0.78
     nutrients
    0.75
     drying
    0.73
     oats
    0.72
     pellets
    0.69
     chemically
    0.69
     contamin
    0.69
     tubes
    0.69
     boil
    0.67
    Activations Density 2.027%

    No Known Activations