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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. 6632
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    Explanations

    phrases related to electricity or power

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "meg" or related phrases, indicating a focus on measurements of power or scale

    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
    conduct
    -0.71
    binding
    -0.71
     Passing
    -0.69
    Cross
    -0.69
    rust
    -0.68
    ADA
    -0.66
    ioned
    -0.66
    ivities
    -0.65
     Loving
    -0.64
     Rarity
    -0.63
    POSITIVE LOGITS
     meg
    3.87
    meg
    2.04
    Meg
    1.68
     Meg
    1.57
     gig
    1.40
     mic
    1.33
     kil
    1.26
     kW
    1.19
    MW
    1.06
     mega
    1.00
    Activations Density 0.017%

    No Known Activations