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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. 6-RES-JB
    11. 7413
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    Explanations

    the word "some" followed by different contexts, such as opinions, traits, characteristics, or actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "some" indicating a vague or general quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.78
    gon
    -0.65
    SPONSORED
    -0.64
    tainment
    -0.63
    meet
    -0.62
    edin
    -0.61
    uyomi
    -0.61
    ettes
    -0.61
    Bear
    -0.61
    eston
    -0.60
    POSITIVE LOGITS
    place
    1.11
    body
    1.06
    how
    1.03
    ones
    0.88
    etheless
    0.77
     semblance
    0.76
     mornings
    0.75
    ONE
    0.74
    HOW
    0.73
     consolation
    0.71
    Activations Density 0.100%

    No Known Activations