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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. 5326
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    Explanations

    phrases related to research and evidence

    oai_token-act-pair · gpt-3.5-turbo

    discussions surrounding medical research and evidence

    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
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    No Comments

    Negative Logits
     Bucket
    -0.72
     evict
    -0.70
    gencies
    -0.69
     Strongh
    -0.69
    geist
    -0.69
    odka
    -0.66
    atism
    -0.65
    ttle
    -0.65
    realDonaldTrump
    -0.64
    overe
    -0.64
    POSITIVE LOGITS
    doi
    1.47
     studies
    1.44
     literature
    1.33
     observational
    1.28
     researchers
    1.25
     study
    1.23
     randomized
    1.22
     epidem
    1.22
     research
    1.20
    Abstract
    1.19
    Activations Density 1.002%

    No Known Activations