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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. 5957
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    INDEX
    Explanations

    adjectives related to ingredients

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ingredients in a recipe or cooking context

    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
    roe
    -0.81
    arton
    -0.80
    thood
    -0.79
    udeb
    -0.75
    king
    -0.72
    vernment
    -0.71
    geon
    -0.68
    iscopal
    -0.67
    agle
    -0.66
    oles
    -0.65
    POSITIVE LOGITS
     ingredients
    1.20
     ingredient
    1.08
    Ingredients
    0.98
     ingred
    0.86
     suppliers
    0.84
     supplier
    0.80
     additives
    0.78
    ãĤ©
    0.75
    ãĤ«
    0.75
     formulas
    0.74
    Activations Density 0.012%

    No Known Activations