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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. 21330
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    Explanations

    time-related phrases, specifically indicating quick or precise time frames

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time-related conditions or expectations

    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
    iver
    -0.69
    oris
    -0.65
    âĨij
    -0.65
    gary
    -0.62
    ibr
    -0.62
    Definition
    -0.61
    encia
    -0.59
    ador
    -0.59
    ãĥī
    -0.58
    姫
    -0.58
    POSITIVE LOGITS
     minutes
    1.19
     seconds
    1.17
     weeks
    1.14
     days
    1.13
     hours
    1.13
     milliseconds
    1.06
     48
    1.02
     thirty
    1.01
     months
    0.98
     24
    0.97
    Activations Density 0.029%

    No Known Activations