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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. 3366
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    INDEX
    Explanations

    requests or prompts for engagement with content, such as leaving comments or sending emails

    oai_token-act-pair · gpt-3.5-turbo

    calls to action for user engagement

    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
    uv
    -0.63
     fortun
    -0.60
    ched
    -0.60
    hospital
    -0.59
    DEF
    -0.57
    utical
    -0.57
    printf
    -0.57
    BuyableInstoreAndOnline
    -0.56
    has
    -0.56
     Reconstruction
    -0.56
    POSITIVE LOGITS
     yourself
    0.98
     pics
    0.94
     yourselves
    0.94
     username
    0.86
     "@
    0.85
     your
    0.85
     YOUR
    0.84
     comments
    0.84
     suggestions
    0.83
     Yourself
    0.81
    Activations Density 0.208%

    No Known Activations