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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. 6976
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    Explanations

    phrases related to the concept of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of time and duration

    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
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    No Comments

    Negative Logits
    rophic
    -0.71
    isively
    -0.66
    Tro
    -0.64
    hest
    -0.63
    ilibrium
    -0.63
     Verse
    -0.63
    psey
    -0.62
    Thirty
    -0.62
     Mane
    -0.62
    yrics
    -0.62
    POSITIVE LOGITS
     ago
    1.17
    frames
    0.88
     periods
    0.83
    duration
    0.76
    frame
    0.75
    period
    0.73
     (>
    0.72
    ago
    0.72
     horizon
    0.72
     frame
    0.71
    Activations Density 0.047%

    No Known Activations