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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. 18279
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    Explanations

    calls to action in the form of requesting newsletter sign-ups

    oai_token-act-pair · gpt-3.5-turbo

    instances of signing up for a newsletter or subscription

    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
    quartered
    -0.67
    rency
    -0.61
     mete
    -0.60
     heel
    -0.60
    omething
    -0.59
    staking
    -0.59
    ón
    -0.58
    oult
    -0.58
    assad
    -0.57
    ĪĴ
    -0.57
    POSITIVE LOGITS
     Thumbnails
    0.92
     Continue
    0.70
    IDES
    0.68
     Picks
    0.67
     Emails
    0.67
     Email
    0.64
     Introdu
    0.64
    ource
    0.62
    Send
    0.61
     Newsletter
    0.61
    Activations Density 0.025%

    No Known Activations