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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. 3-RES-JB
    11. 4464
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    Explanations

    terms related to food that is free from a specific ingredient or category

    oai_token-act-pair · gpt-3.5-turbo

    references to foods or products that are free from certain ingredients, specifically animal products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ional
    -0.75
    ilater
    -0.71
    attr
    -0.70
    åĤ
    -0.69
    older
    -0.69
    inx
    -0.66
    emet
    -0.65
    need
    -0.65
    iop
    -0.65
    iot
    -0.64
    POSITIVE LOGITS
    zing
    1.20
    bies
    1.20
    zes
    1.10
    zers
    0.98
    zed
    0.98
    ze
    0.92
    bie
    0.86
     roam
    0.79
    ZE
    0.77
    zer
    0.74
    Activations Density 0.015%

    No Known Activations