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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. 9-RES-JB
    11. 3766
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    Explanations

    mentions of opinion pieces or articles in various publications

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weddings
    -0.66
     levers
    -0.62
     transporter
    -0.62
     emergencies
    -0.62
     controls
    -0.61
     embryos
    -0.61
     customs
    -0.61
     cleaners
    -0.59
    ibles
    -0.59
    ruce
    -0.59
    POSITIVE LOGITS
     titled
    1.35
     headlined
    1.14
     entitled
    1.13
     published
    1.11
     reprinted
    1.03
     penned
    1.00
     article
    0.95
    vertisement
    0.95
     criticizing
    0.94
     detailing
    0.94
    Activations Density 0.177%

    No Known Activations