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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. 8-RES-JB
    11. 9978
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    Explanations

    numbers indicating a high quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "over [number]" indicating quantities or large counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Slug
    -0.65
     jaws
    -0.61
    Express
    -0.60
    ittal
    -0.60
     onwards
    -0.59
    ":[
    -0.58
     Dot
    -0.58
    illary
    -0.57
     onward
    -0.57
     Dynamics
    -0.56
    POSITIVE LOGITS
    drive
    1.17
    capacity
    1.05
    priced
    1.03
    ground
    1.01
    kill
    1.01
    grown
    1.01
    whelming
    0.99
    hang
    0.96
    reaching
    0.96
    worked
    0.95
    Activations Density 0.051%

    No Known Activations