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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. 6-RES-JB
    11. 21889
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    Explanations

    time frames indicating a duration or minimum period

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "at least."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Valhalla
    -0.70
    iasco
    -0.69
     Dresden
    -0.69
     congr
    -0.69
     RTX
    -0.67
     Bucket
    -0.65
     Machines
    -0.65
     Janeiro
    -0.64
     Salam
    -0.64
     Panda
    -0.63
    POSITIVE LOGITS
    uv
    0.91
    otin
    0.83
    mill
    0.79
    lement
    0.79
    ividual
    0.78
    animate
    0.76
    meric
    0.75
    ilateral
    0.75
    ordinate
    0.75
    patient
    0.74
    Activations Density 0.263%

    No Known Activations