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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. 15864
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    Explanations

    calls to action prompting users to sign up for various services or newsletters

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to signing up for subscriptions or newsletters

    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
    sworth
    -0.72
    usive
    -0.70
    ensen
    -0.67
    uki
    -0.65
    leigh
    -0.64
    weak
    -0.63
    ãĤ£
    -0.62
    Äĩ
    -0.62
    aghan
    -0.61
    olith
    -0.61
    POSITIVE LOGITS
     mailing
    0.82
     email
    0.81
     Emails
    0.80
     FREE
    0.80
     newsletters
    0.77
     alerts
    0.75
     Yahoo
    0.75
     premium
    0.75
     emails
    0.74
     membership
    0.73
    Activations Density 0.035%

    No Known Activations