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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. 14514
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    oai_token-act-pair · gpt-3.5-turbo
    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
    cedented
    -1.03
    udeb
    -0.96
    authorized
    -0.91
    soDeliveryDate
    -0.90
    bourg
    -0.87
    paid
    -0.85
    HCR
    -0.81
    ruary
    -0.81
    href
    -0.79
    apult
    -0.77
    POSITIVE LOGITS
     substances
    1.25
     substance
    1.01
     organisms
    0.99
     particles
    0.97
     properties
    0.95
    ity
    0.94
     materials
    0.94
     compounds
    0.94
     tissue
    0.93
     nature
    0.91
    Activations Density 0.216%

    No Known Activations