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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. 3-RES-JB
    11. 13555
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    Explanations

    references to military-related terms, specifically interment at Arlington or involving military equipment and battles as well as superhero references

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "red"

    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
    uty
    -0.76
    istered
    -0.65
     Hobby
    -0.65
     Manit
    -0.64
    pless
    -0.63
     Manga
    -0.63
    ronics
    -0.62
    oul
    -0.62
    abal
    -0.61
    omo
    -0.61
    POSITIVE LOGITS
    ¬
    0.71
    âĸ¬
    0.70
    ¿½
    0.66
    Neigh
    0.66
    jee
    0.64
     bedrock
    0.64
     embold
    0.64
     weakening
    0.62
    Ĥİ
    0.61
    ROR
    0.60
    Activations Density 0.000%

    No Known Activations