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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. 20783
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    oai_token-act-pair · gpt-3.5-turbo

    sequences of underscores or placeholders

    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
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    Negative Logits
     Pearce
    -0.73
    atform
    -0.72
    quished
    -0.72
     FML
    -0.71
    eteria
    -0.70
     Levine
    -0.67
     Leilan
    -0.66
     Frazier
    -0.66
     Manson
    -0.66
     Yose
    -0.63
    POSITIVE LOGITS
    blank
    1.00
    tro
    1.00
    chance
    0.96
    dict
    0.96
    ebook
    0.93
    default
    0.90
    page
    0.90
    country
    0.89
    429
    0.89
    user
    0.88
    Activations Density 0.021%

    No Known Activations