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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. 11-RES-JB
    11. 16712
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    Explanations

    actions related to preparing and cooking food

    oai_token-act-pair · gpt-3.5-turbo

    cooking techniques and actions related to food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     0004
    -0.75
     referral
    -0.66
    é¾įå¥ij士
    -0.64
     Kahn
    -0.63
     Emblem
    -0.63
     handic
    -0.61
    ilitary
    -0.61
    ORPG
    -0.61
    ticket
    -0.60
    tel
    -0.59
    POSITIVE LOGITS
     soak
    1.20
     cool
    1.11
     simmer
    1.08
     cooled
    1.05
     soften
    1.04
     warm
    1.02
     steep
    1.01
     settle
    1.00
     dry
    1.00
     sit
    0.99
    Activations Density 0.109%

    No Known Activations