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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. 4-RES-JB
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    Explanations

    the name "Emanuel"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and organizations

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

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.80
    othal
    -0.74
    wat
    -0.73
    yah
    -0.73
    =-=-=-=-
    -0.73
    alysed
    -0.72
    ishers
    -0.70
    hots
    -0.68
    rocal
    -0.67
    astery
    -0.67
    POSITIVE LOGITS
    wald
    0.81
    minist
    0.76
    mann
    0.75
     Emanuel
    0.75
     confir
    0.73
     plur
    0.70
     reluct
    0.68
    brand
    0.65
    OOL
    0.65
     lapse
    0.65
    Activations Density 0.014%

    No Known Activations