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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
    11. 14627
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    Explanations

    words related to dietary restrictions and allergens, particularly focusing on gluten-free and sugar-free options

    oai_token-act-pair · gpt-3.5-turbo

    terms related to gluten-free foods and dietary restrictions

    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
     Polk
    -0.84
     Pett
    -0.71
    AMS
    -0.71
    pload
    -0.70
     Newsp
    -0.68
     Ballistic
    -0.67
    unci
    -0.66
    USS
    -0.65
    REAM
    -0.65
     Siem
    -0.65
    POSITIVE LOGITS
    rients
    0.90
     cloves
    0.86
     Cinnamon
    0.84
    rition
    0.83
     supplementation
    0.82
     goodness
    0.82
     soluble
    0.80
     supplements
    0.79
     sweetness
    0.79
     Acid
    0.76
    Activations Density 0.066%

    No Known Activations