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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. 9-RES-JB
    11. 4621
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    Explanations

    instructions or mentions related to serving food

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to serving food or dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chase
    -0.75
    peria
    -0.71
     Nanto
    -0.71
    orne
    -0.70
    razil
    -0.69
     Powers
    -0.64
    ality
    -0.63
     converter
    -0.62
    edi
    -0.61
    requisite
    -0.60
    POSITIVE LOGITS
     meals
    0.98
    maid
    0.87
    lyak
    0.80
     drinks
    0.80
     beverages
    0.78
     breakfast
    0.75
    iments
    0.74
    ctuary
    0.74
    entious
    0.74
     chilled
    0.73
    Activations Density 0.048%

    No Known Activations