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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. 23672
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    INDEX
    Explanations

    recipe steps and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    actions and processes related to cooking and food preparation

    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
    href
    -0.75
     derog
    -0.73
     referral
    -0.71
     Nanto
    -0.70
     Osw
    -0.68
     retrospective
    -0.64
    Upgrade
    -0.63
    lihood
    -0.63
     Odyssey
    -0.63
     Samar
    -0.63
    POSITIVE LOGITS
     mixture
    0.97
     brown
    0.91
     crust
    0.88
     creamy
    0.87
     pulp
    0.86
     paste
    0.86
     evenly
    0.85
     consistency
    0.85
     gelatin
    0.84
     smooth
    0.83
    Activations Density 0.122%

    No Known Activations