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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. 7-RES-JB
    11. 20844
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    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating relationships or connections between concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uti
    -0.74
    acious
    -0.72
    called
    -0.68
     tiss
    -0.68
    artifacts
    -0.63
    ickle
    -0.60
    ulty
    -0.60
    ioned
    -0.60
     swayed
    -0.59
    of
    -0.59
    POSITIVE LOGITS
    pload
    0.71
     its
    0.70
    Ħ¢
    0.69
    Ń·
    0.69
     itself
    0.67
    phia
    0.67
    activation
    0.65
     Lifetime
    0.65
     lieu
    0.63
    livion
    0.62
    Activations Density 0.429%

    No Known Activations