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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. 13996
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    Explanations

    discussions related to governmental actions and policies

    oai_token-act-pair · gpt-3.5-turbo

    references to government actions and policies

    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
    itbart
    -0.71
     Avenger
    -0.71
    tein
    -0.70
    astery
    -0.69
    ãĤ¨ãĥ«
    -0.69
    onyms
    -0.69
     Sleeping
    -0.69
    iannopoulos
    -0.68
    ipers
    -0.68
     Coulter
    -0.66
    POSITIVE LOGITS
     subsid
    1.41
     intervene
    1.21
     mandated
    1.19
     subsidized
    1.18
     subsidies
    1.16
     legisl
    1.12
     mandates
    1.12
     incentiv
    1.09
     funding
    1.07
     mandate
    1.04
    Activations Density 0.515%

    No Known Activations