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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. 9-RES-JB
    11. 23658
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    Explanations

    years of founding of organizations

    oai_token-act-pair · gpt-3.5-turbo

    years in which organizations or events were established

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pse
    -0.67
     hypocr
    -0.62
     listener
    -0.60
    rouse
    -0.60
    ariat
    -0.59
     behav
    -0.58
    nces
    -0.55
    lder
    -0.54
    eries
    -0.54
    bind
    -0.54
    POSITIVE LOGITS
     onwards
    0.77
     BCE
    0.65
    ocument
    0.64
    é¾įå¥ij士
    0.64
    berra
    0.63
    irection
    0.63
     alongside
    0.62
    ourning
    0.61
     amidst
    0.61
    assetsadobe
    0.61
    Activations Density 0.133%

    No Known Activations