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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. 11-RES-JB
    11. 23328
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    Explanations

    communication-related activities such as receiving emails and calls

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of emails and phone calls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.85
    ETF
    -0.81
    wikipedia
    -0.67
    idable
    -0.66
    phe
    -0.66
    rawdownloadcloneembedreportprint
    -0.66
    ardless
    -0.65
    independence
    -0.63
    won
    -0.63
     precedent
    -0.62
    POSITIVE LOGITS
     informing
    1.54
     thanking
    1.42
     asking
    1.42
     requesting
    1.38
     congrat
    1.27
     reminding
    1.26
     telling
    1.25
     apologizing
    1.22
     saying
    1.17
     inqu
    1.16
    Activations Density 0.289%

    No Known Activations