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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. 20380
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    Explanations

    words related to personal care products and their applications

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and phrases related to products, food, and elements within various contexts

    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
     thous
    -0.50
     Leilan
    -0.48
    ij士
    -0.47
    ãĥ¼ãĥĨ
    -0.45
    Interstitial
    -0.45
     Moroc
    -0.45
    Common
    -0.44
    ãĥĩãĤ£
    -0.43
    æ°
    -0.43
     dime
    -0.43
    POSITIVE LOGITS
     largeDownload
    0.52
     âĢº
    0.47
    bum
    0.47
    phal
    0.45
    omon
    0.44
    rates
    0.43
    mel
    0.42
    hus
    0.41
    lehem
    0.41
    hes
    0.41
    Activations Density 2.382%

    No Known Activations