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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. 7-RES-JB
    11. 17079
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    Explanations

    references to institutions related to research and policy, particularly think tanks

    oai_token-act-pair · gpt-3.5-turbo

    references to think tanks and related organizations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    alogue
    -0.74
    amaz
    -0.74
    pain
    -0.70
     satisf
    -0.66
    Complete
    -0.65
    illard
    -0.65
    uder
    -0.65
     Butcher
    -0.64
     handc
    -0.64
     goose
    -0.64
    POSITIVE LOGITS
    arians
    0.99
    arian
    0.84
     instit
    0.82
     Institution
    0.82
     chaired
    0.80
     institute
    0.80
     convened
    0.78
    uments
    0.77
     adviser
    0.75
     economists
    0.75
    Activations Density 0.101%

    No Known Activations