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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. 1-RES-JB
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    Explanations

    the word "everyone" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "everyone" and its variations, indicating a focus on inclusivity or universal experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bal
    -0.79
     Nanto
    -0.74
    anga
    -0.65
     Mount
    -0.64
    letters
    -0.62
    shows
    -0.62
    series
    -0.62
     Peninsula
    -0.62
    waters
    -0.61
    capt
    -0.60
    POSITIVE LOGITS
     else
    1.27
    THING
    1.10
     imaginable
    0.87
    Else
    0.85
     Else
    0.84
    igator
    0.79
     conceivable
    0.79
     everybody
    0.77
     everyone
    0.77
     enthusi
    0.77
    Activations Density 0.020%

    No Known Activations