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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. 125
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    Explanations

    calls to action prompting not to miss out on various events or information

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of missing something or someone

    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
     Jinping
    -0.72
    advertisement
    -0.68
    Enlarge
    -0.64
    EStreamFrame
    -0.64
    optional
    -0.63
    Loading
    -0.62
     Environment
    -0.62
    btn
    -0.62
    Technology
    -0.62
    rative
    -0.60
    POSITIVE LOGITS
    pelled
    1.18
    hap
    1.16
    ouri
    1.05
    pell
    1.02
    pelling
    0.94
    ippi
    0.89
    cules
    0.89
    ovember
    0.84
    poke
    0.75
    onday
    0.74
    Activations Density 0.013%

    No Known Activations