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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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

    Negative Logits
     ancest
    -0.81
    gling
    -0.77
    fully
    -0.66
    tein
    -0.65
     Phelps
    -0.65
     fitting
    -0.64
    LOS
    -0.63
     Nanto
    -0.63
    Ign
    -0.62
    ively
    -0.62
    POSITIVE LOGITS
    gmail
    1.11
    yahoo
    0.96
    ileaks
    0.89
    email
    0.85
    fp
    0.78
     messenger
    0.77
    bugs
    0.75
    assetsadobe
    0.74
     msg
    0.73
    zzle
    0.72
    Activations Density 0.012%

    No Known Activations