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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. 10-RES-JB
    11. 22444
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    Explanations

    mentions of specific food items

    oai_token-act-pair · gpt-3.5-turbo

    references to fried turkey and related culinary content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Livingston
    -0.85
     Stein
    -0.83
     Feldman
    -0.83
     Mayweather
    -0.78
     Exxon
    -0.77
    iard
    -0.76
    isf
    -0.76
     Elliott
    -0.76
     Fiesta
    -0.74
     embr
    -0.74
    POSITIVE LOGITS
     272
    0.87
     Butler
    0.85
    RAM
    0.84
     Cunningham
    0.82
    272
    0.82
     Raj
    0.81
    zen
    0.81
    atra
    0.80
    ational
    0.79
    rams
    0.79
    Activations Density 0.379%

    No Known Activations