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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. 4-RES-JB
    11. 10895
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    Explanations

    modal verbs indicating obligation, such as "ought to."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express recommendations or suggestions

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

    No Comments

    Negative Logits
    Arab
    -0.66
    ula
    -0.64
    dream
    -0.64
    ZI
    -0.63
    gren
    -0.62
    cule
    -0.61
    oric
    -0.61
    eding
    -0.60
     Chains
    -0.60
     Puzzle
    -0.60
    POSITIVE LOGITS
    EStream
    0.92
    igham
    0.81
    ratulations
    0.80
    DragonMagazine
    0.79
     ideally
    0.78
    ĺħ
    0.77
    entious
    0.76
     attent
    0.73
    lessly
    0.73
     rightfully
    0.73
    Activations Density 0.008%

    No Known Activations