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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
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    Explanations

    tweets containing the text "RT" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the abbreviation "RT," typically indicating retweets or references in social media 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
     villain
    -0.71
     Izan
    -0.69
     Yoshi
    -0.65
     cap
    -0.64
    swing
    -0.64
     Omaha
    -0.63
     mercury
    -0.62
     su
    -0.61
     baskets
    -0.61
     candy
    -0.60
    POSITIVE LOGITS
    RT
    4.60
     RT
    2.23
    rt
    1.80
    RM
    1.29
    RG
    1.29
    LT
    1.24
    RW
    1.23
    RL
    1.22
    RN
    1.21
    TT
    1.19
    Activations Density 0.014%

    No Known Activations