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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. 2-RES-JB
    11. 665
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    Explanations

    references to timers, cooldowns, and scoreboards

    oai_token-act-pair · gpt-3.5-turbo

    terms related to timekeeping or tracking time

    oai_token-act-pair · gpt-4-turbo

    terms related to timers and countdowns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uman
    -0.77
    uran
    -0.77
    ala
    -0.77
    hur
    -0.76
    legal
    -0.75
    ood
    -0.73
    ival
    -0.73
    ramid
    -0.71
    agar
    -0.71
    urous
    -0.70
    POSITIVE LOGITS
     timer
    1.19
    timer
    1.11
     timers
    1.02
     expires
    0.88
     clock
    0.78
     ticks
    0.78
     cooldown
    0.75
     elapsed
    0.75
    clock
    0.73
     Clock
    0.73
    Activations Density 0.008%

    No Known Activations