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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. 1890
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    Explanations

    values related to durations of time

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods and durations

    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
    ques
    -0.74
    ettings
    -0.74
    earch
    -0.67
    tern
    -0.67
    ettes
    -0.62
    ality
    -0.62
    itized
    -0.62
    ussia
    -0.62
    quet
    -0.61
    velt
    -0.60
    POSITIVE LOGITS
     Minutes
    1.33
    fps
    1.15
     Seconds
    1.15
    Hz
    1.07
     minutes
    1.05
    mins
    1.03
     mins
    1.02
     seconds
    1.02
    %
    1.02
    %"
    1.02
    Activations Density 0.134%

    No Known Activations