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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. 4-RES-JB
    11. 992
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    Explanations

    references to chefs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of chefs

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

    No Comments

    Negative Logits
     PSP
    -0.76
     constit
    -0.67
     Surface
    -0.66
     Amendments
    -0.65
     Rockefeller
    -0.64
    road
    -0.63
     Citizens
    -0.62
    porting
    -0.61
    ************
    -0.61
     Compact
    -0.60
    POSITIVE LOGITS
     chef
    1.21
     chefs
    1.19
    isine
    1.13
    cook
    0.95
     Chef
    0.92
     pastry
    0.84
     cooks
    0.83
     cuisine
    0.83
     baker
    0.82
     culinary
    0.80
    Activations Density 0.020%

    No Known Activations