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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. 5900
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    Explanations

    phrases related to preparing for future events or activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "preparing for."

    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
    ware
    -0.71
    gnu
    -0.68
    hai
    -0.67
    framework
    -0.67
    mint
    -0.65
    taboola
    -0.62
    weed
    -0.62
    mod
    -0.61
    è¦
    -0.61
    ï¸ı
    -0.60
    POSITIVE LOGITS
     emergencies
    1.02
     conting
    1.01
     impending
    0.94
     tomorrow
    0.94
     eventual
    0.91
     imminent
    0.91
     future
    0.88
     takeoff
    0.85
     Armageddon
    0.84
     greatness
    0.83
    Activations Density 0.151%

    No Known Activations