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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. 5867
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    INDEX
    Explanations

    words and phrases related to criminal activities or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating emotional or qualitative assessments

    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
    successfully
    -0.65
     eleph
    -0.63
     nifty
    -0.60
    hover
    -0.58
     invis
    -0.58
     pesky
    -0.57
     peek
    -0.57
    enfranch
    -0.56
    eday
    -0.56
     someday
    -0.56
    POSITIVE LOGITS
     councillor
    0.73
    Coun
    0.72
     Clive
    0.66
     Miliband
    0.64
     Nikki
    0.63
     Archbishop
    0.63
    Speaking
    0.63
     marrow
    0.63
     Hammond
    0.62
     Rouhani
    0.62
    Activations Density 0.206%

    No Known Activations