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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. 7-RES-JB
    11. 11061
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    text related to cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.81
    isphere
    -0.74
    clus
    -0.69
     headlined
    -0.63
    DragonMagazine
    -0.63
     Canaver
    -0.62
    peria
    -0.62
     Geographic
    -0.60
    levard
    -0.60
    BLIC
    -0.59
    POSITIVE LOGITS
     yeast
    0.87
    ecake
    0.84
     temperatures
    0.75
     shrimp
    0.73
     temperature
    0.73
    strap
    0.71
     oven
    0.71
     diced
    0.71
     enzymes
    0.71
     Fry
    0.70
    Activations Density 0.092%

    No Known Activations