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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. 16478
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    Explanations

    forms or fields indicating the need for completion

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to completing forms or applications

    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
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    Negative Logits
     gor
    -0.71
     telev
    -0.67
     disrupting
    -0.65
     Pigs
    -0.65
     Singer
    -0.64
     aired
    -0.63
    ilon
    -0.61
    CVE
    -0.61
     disruption
    -0.60
     Palest
    -0.60
    POSITIVE LOGITS
     captcha
    1.28
     paperwork
    1.07
     questionnaire
    1.06
    naires
    1.02
     surveys
    0.92
    Form
    0.89
     registration
    0.88
     survey
    0.86
     Form
    0.86
    form
    0.84
    Activations Density 0.131%

    No Known Activations