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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. 10-RES-JB
    11. 6256
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    INDEX
    Explanations

    repetitive phrases or exclamations

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases and catchphrases in dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enture
    -0.64
    inosaur
    -0.64
    Īè
    -0.64
    ULTS
    -0.63
    DEM
    -0.62
    illian
    -0.62
    afety
    -0.61
    Myth
    -0.61
    ãĥĹ
    -0.60
    eatured
    -0.59
    POSITIVE LOGITS
    !'
    0.89
    !!!!
    0.88
    !
    0.88
    !!
    0.87
    âĢ¦âĢ¦
    0.87
    !!!
    0.87
    .....
    0.87
    âĢ¢âĢ¢
    0.86
    !.
    0.85
    !!!!!
    0.82
    Activations Density 0.129%

    No Known Activations