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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "seal" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of seals, specifically highlighting various types and aspects of seals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.67
    imbabwe
    -0.66
    itters
    -0.64
     Lov
    -0.64
     Drawn
    -0.63
    enegger
    -0.63
    enez
    -0.62
     Rove
    -0.62
     Cue
    -0.62
    chy
    -0.61
    POSITIVE LOGITS
     seal
    1.14
     seals
    1.09
    keeper
    0.89
     Seal
    0.87
    heed
    0.81
    ife
    0.81
    keepers
    0.79
    wrap
    0.75
    pipe
    0.74
     pup
    0.73
    Activations Density 0.007%

    No Known Activations