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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. 10877
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    Explanations

    instructions related to food preparation

    oai_token-act-pair · gpt-3.5-turbo

    instructions or steps in a recipe or cooking process

    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
     ancestor
    -0.72
     Samar
    -0.72
     ticket
    -0.70
     dating
    -0.68
     answers
    -0.68
     dated
    -0.67
     fielding
    -0.67
     fielded
    -0.67
     implying
    -0.67
     evidenced
    -0.66
    POSITIVE LOGITS
    Remove
    1.15
    Then
    1.09
     Slowly
    1.07
     Then
    1.04
    Heat
    1.00
    Optional
    1.00
    Prep
    0.99
    Once
    0.98
    Step
    0.98
    Assembly
    0.97
    Activations Density 0.141%

    No Known Activations