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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. 13564
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    Explanations

    ingredients and cooking instructions for recipes

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and cooking-related terms

    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
    ¥ŀ
    -0.96
     simultane
    -0.83
    Student
    -0.82
    soDeliveryDate
    -0.78
    ģĸ
    -0.76
    ITNESS
    -0.76
    eatures
    -0.75
     Galile
    -0.74
    Orderable
    -0.74
    EGIN
    -0.74
    POSITIVE LOGITS
     flakes
    1.13
    fish
    1.10
     berries
    1.09
    berries
    1.06
     worms
    1.05
    weed
    1.05
    seed
    1.04
    fruit
    1.02
    beans
    0.99
     beetle
    0.99
    Activations Density 0.464%

    No Known Activations