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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. 8723
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    Explanations

    references to universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities

    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
    othy
    -0.71
    adow
    -0.70
    elist
    -0.70
    BACK
    -0.67
     sheets
    -0.67
    lda
    -0.64
    TPS
    -0.64
     bre
    -0.62
     bubbles
    -0.61
     vocals
    -0.61
    POSITIVE LOGITS
    uates
    0.91
     Registrar
    0.87
     Grants
    0.87
     Extension
    0.86
    Hum
    0.85
     College
    0.84
     Hosp
    0.83
     Hospital
    0.82
     Libraries
    0.81
     Athletic
    0.80
    Activations Density 0.034%

    No Known Activations