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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. 978
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific arenas

    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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    No Comments

    Negative Logits
    reads
    -0.85
    orders
    -0.81
    lessly
    -0.77
    ebook
    -0.76
    dit
    -0.70
    matter
    -0.67
    nir
    -0.66
    teenth
    -0.66
    yan
    -0.65
    lessness
    -0.65
    POSITIVE LOGITS
     arena
    0.89
    nas
    0.87
     arenas
    0.86
    adium
    0.85
    Net
    0.80
     venue
    0.78
     rink
    0.77
    Aren
    0.76
    illac
    0.74
     seating
    0.73
    Activations Density 0.044%

    No Known Activations