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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. 1-RES-JB
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    Explanations

    phrases related to food items and flavors, specifically chocolate

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to chocolate or dessert items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hutchinson
    -0.75
     Germ
    -0.68
     NASCAR
    -0.64
     Dak
    -0.64
     wind
    -0.64
     Feldman
    -0.63
     Shepard
    -0.62
    ne
    -0.62
     Voyager
    -0.61
    VK
    -0.61
    POSITIVE LOGITS
    ocol
    1.75
    onial
    1.22
    umn
    1.08
    ĨĴ
    1.04
     Seym
    1.01
    rador
    0.99
    ombo
    0.97
    rontal
    0.95
    terday
    0.92
    oded
    0.92
    Activations Density 0.008%

    No Known Activations