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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. 4-RES-JB
    11. 9396
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    Explanations

    calls to action prompting the reader to sign up for a newsletter or continue reading a main story

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to newsletter subscriptions and sign-up prompts

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

    No Comments

    Negative Logits
     bis
    -0.75
    >]
    -0.69
     Caldwell
    -0.68
    mong
    -0.65
     Weston
    -0.65
     Coul
    -0.64
     Manson
    -0.64
     dest
    -0.63
    gran
    -0.63
    fre
    -0.62
    POSITIVE LOGITS
    Interstitial
    0.81
    rights
    0.79
    lish
    0.79
    ername
    0.78
    Trend
    0.75
    grades
    0.74
    np
    0.74
    dates
    0.71
    adesh
    0.70
    ickets
    0.69
    Activations Density 0.010%

    No Known Activations