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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. 11-RES-JB
    11. 1788
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    Explanations

    time-related expressions, particularly those related to specific durations

    oai_token-act-pair · gpt-3.5-turbo

    references to time frames or durations for actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etta
    -0.71
     Rated
    -0.66
    dom
    -0.63
    ortium
    -0.61
    oled
    -0.61
     Virt
    -0.57
    liction
    -0.57
    anooga
    -0.57
    rika
    -0.57
     proble
    -0.56
    POSITIVE LOGITS
     later
    1.29
     ahead
    1.22
     ago
    1.13
     sooner
    1.09
     apart
    1.08
     beforehand
    1.06
     earlier
    1.00
    later
    0.97
     hence
    0.95
     early
    0.95
    Activations Density 0.086%

    No Known Activations