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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. 6-RES-JB
    11. 17528
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    Explanations

    specific mentions of food items, particularly salads

    oai_token-act-pair · gpt-3.5-turbo

    references to salad

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Borders
    -0.71
    hearted
    -0.71
    auer
    -0.71
    raising
    -0.70
    iazep
    -0.69
    closed
    -0.68
    itives
    -0.68
    redit
    -0.67
    founded
    -0.67
    ships
    -0.65
    POSITIVE LOGITS
     greens
    1.09
     dressing
    1.06
     dress
    0.89
     salad
    0.82
    eria
    0.78
    yard
    0.78
     garden
    0.76
     Dress
    0.76
     tomatoes
    0.76
     salads
    0.75
    Activations Density 0.028%

    No Known Activations