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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. 11-RES-JB
    11. 2317
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    Explanations

    technical specifications and comparisons between electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to smartphone and tablet models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    pmwiki
    -0.89
    zsche
    -0.73
    vernment
    -0.73
    Animation
    -0.71
     weld
    -0.71
    Asset
    -0.70
    cffffcc
    -0.69
     spac
    -0.69
     curing
    -0.68
    emetery
    -0.68
    POSITIVE LOGITS
     iPhone
    1.44
     Xperia
    1.42
     iPad
    1.41
     Galaxy
    1.39
     Lumia
    1.34
     iPhones
    1.34
    iPhone
    1.26
     smartphones
    1.26
     Droid
    1.24
     Nexus
    1.24
    Activations Density 0.201%

    No Known Activations