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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4851
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    Explanations

    descriptions of actions and events

    oai_token-act-pair · gpt-3.5-turbo

    references to medical procedures and their outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     transact
    -0.64
     CIS
    -0.63
     Analyst
    -0.62
     neocons
    -0.62
     Vox
    -0.61
     DOJ
    -0.57
     analytic
    -0.57
     [[
    -0.57
     core
    -0.56
     Supporting
    -0.56
    POSITIVE LOGITS
     hikers
    0.71
     Guinness
    0.71
    auna
    0.68
     metre
    0.64
     limestone
    0.64
     manoeuv
    0.64
     crews
    0.64
    lled
    0.62
     bark
    0.62
    phot
    0.61
    Activations Density 1.683%

    No Known Activations