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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. 2-RES-JB
    11. 12256
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    Explanations

    adjectives or nouns expressing negative or aggressive actions or tendencies

    oai_token-act-pair · gpt-3.5-turbo

    words that emphasize teamwork and collective efforts, particularly in challenging situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Vaugh
    -0.64
     HW
    -0.59
     [*]
    -0.57
     Lima
    -0.57
     disg
    -0.56
    ECTION
    -0.55
    DragonMagazine
    -0.55
     CBI
    -0.55
     dotted
    -0.54
     AUTHOR
    -0.54
    POSITIVE LOGITS
    waukee
    0.95
    intosh
    0.95
    ufact
    0.90
    ogi
    0.88
    gage
    0.79
    iple
    0.78
    aina
    0.75
    etting
    0.75
    emonic
    0.74
    agara
    0.74
    Activations Density 0.302%

    No Known Activations