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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. 0-RES-JB
    11. 13029
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    Explanations

    keywords related to engines, such as types of engines, engine components, and engine-related actions

    oai_token-act-pair · gpt-3.5-turbo

    references to engines in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivities
    -0.85
    ides
    -0.85
    rities
    -0.74
     Tuls
    -0.71
     Dates
    -0.70
    idences
    -0.69
    cakes
    -0.69
    Numbers
    -0.68
    thood
    -0.68
    clus
    -0.67
    POSITIVE LOGITS
     engine
    3.60
     Engine
    2.53
     engines
    2.29
    engine
    2.02
    Engine
    1.98
     mechanic
    1.48
     accelerator
    1.42
     generator
    1.40
     tyre
    1.33
     turbine
    1.30
    Activations Density 0.012%

    No Known Activations