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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. 9-RES-JB
    11. 20288
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    Explanations

    phrases indicating a strong alignment or agreement on a particular course of action

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "in."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abouts
    -0.63
     Doodle
    -0.61
    peed
    -0.59
    llan
    -0.57
     baptized
    -0.56
     captcha
    -0.56
     %%
    -0.55
     NIGHT
    -0.55
     NCT
    -0.55
     fortnight
    -0.54
    POSITIVE LOGITS
    offensive
    1.22
    humane
    1.18
     accordance
    1.09
    escap
    1.09
    authent
    1.05
    versely
    1.05
    operative
    1.03
    organic
    1.00
    clusively
    0.98
    bred
    0.98
    Activations Density 0.181%

    No Known Activations