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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. 13553
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    INDEX
    Explanations

    mentions of chefs

    oai_token-act-pair · gpt-3.5-turbo

    references to chefs and culinary professionals

    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
     PSP
    -0.76
     Armory
    -0.67
    porting
    -0.65
     Rockefeller
    -0.64
     Citizens
    -0.64
     Amendments
    -0.63
    road
    -0.61
     Powers
    -0.61
     Surface
    -0.61
    track
    -0.60
    POSITIVE LOGITS
     chef
    1.16
     chefs
    1.12
    isine
    1.04
    cook
    0.88
    washer
    0.86
     Chef
    0.84
     cooks
    0.83
     cuisine
    0.81
     meals
    0.78
     eater
    0.78
    Activations Density 0.016%

    No Known Activations