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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. 10-RES-JB
    11. 7203
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    Explanations

    specific dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific details or exact information about events and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urable
    -0.78
    Studies
    -0.76
    tic
    -0.76
    Improved
    -0.76
    Improve
    -0.75
    indust
    -0.75
    Impro
    -0.74
    ecd
    -0.73
    powerful
    -0.72
    especially
    -0.71
    POSITIVE LOGITS
     location
    1.66
     destination
    1.51
     date
    1.51
     timetable
    1.48
     itiner
    1.41
     schedule
    1.37
     locations
    1.36
     dates
    1.34
     name
    1.32
     coordinates
    1.27
    Activations Density 0.559%

    No Known Activations