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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. 9886
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    Explanations

    phrases related to institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to institutions, particularly in the context of education or societal structures

    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
     Rockies
    -0.75
    THER
    -0.73
    Timer
    -0.70
    hab
    -0.69
    gets
    -0.68
    req
    -0.68
    storms
    -0.67
    dos
    -0.67
     sled
    -0.66
    posed
    -0.66
    POSITIVE LOGITS
    itutional
    0.99
    arians
    0.92
    ally
    0.88
    utions
    0.87
     institutions
    0.86
    ually
    0.84
     institution
    0.82
    ility
    0.81
     affili
    0.80
     Institution
    0.77
    Activations Density 0.023%

    No Known Activations