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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. 2-RES-JB
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    Explanations

    names related to specific educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific schools and their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Scotia
    -0.75
    ISTER
    -0.66
     SUP
    -0.63
    enegger
    -0.62
     VICE
    -0.61
     Cov
    -0.61
    #$
    -0.61
     Township
    -0.61
     ENTER
    -0.61
     Votes
    -0.60
    POSITIVE LOGITS
     Tul
    1.06
    aura
    0.90
    ampa
    0.86
    ayan
    0.86
     mosqu
    0.85
    ricia
    0.84
    itles
    0.83
    unia
    0.83
    itus
    0.82
    ipal
    0.81
    Activations Density 0.014%

    No Known Activations