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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. 0-RES-JB
    11. 22433
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    Explanations

    words containing the substring "bern"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of New Bern

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ा
    -0.80
    à¥
    -0.73
    products
    -0.67
    inar
    -0.67
    reon
    -0.66
    ãĤ°
    -0.64
    Latest
    -0.63
     Zup
    -0.63
    minecraft
    -0.63
    erity
    -0.63
    POSITIVE LOGITS
    bern
    1.04
    croft
    0.62
     attachments
    0.61
    acks
    0.59
     discont
    0.59
     anomal
    0.59
    atown
    0.58
     innate
    0.57
     Wilderness
    0.57
     sympath
    0.57
    Activations Density 0.000%

    No Known Activations