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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. 8-RES-JB
    11. 24406
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    INDEX
    Explanations

    ingredients and cooking instructions for a recipe

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related actions and instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ighth
    -0.83
     Gund
    -0.74
     souven
    -0.74
    OPLE
    -0.73
    ardless
    -0.71
     vest
    -0.68
    abilia
    -0.66
     fences
    -0.65
     leased
    -0.64
     visitor
    -0.64
    POSITIVE LOGITS
     mixture
    0.89
     Blend
    0.83
     Slowly
    0.81
     yeast
    0.80
    Ingredients
    0.78
     enzyme
    0.78
     blender
    0.78
     Mix
    0.77
     swirl
    0.75
    Prep
    0.74
    Activations Density 0.126%

    No Known Activations