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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. 3-RES-JB
    11. 5847
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    INDEX
    Explanations

    locations of 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppings
    -0.86
    othy
    -0.75
    ãĥİ
    -0.70
    Pg
    -0.70
     sheets
    -0.68
    lda
    -0.68
    ï¸ı
    -0.67
    meaning
    -0.67
    ãģĦ
    -0.66
    lyak
    -0.63
    POSITIVE LOGITS
     College
    0.94
     Extension
    0.94
     campuses
    0.92
     Consortium
    0.87
    uates
    0.87
     School
    0.86
     Campus
    0.85
     Libraries
    0.85
     Hosp
    0.85
     Hospital
    0.84
    Activations Density 0.031%

    No Known Activations