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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. 7-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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    eatures
    -0.73
    NetMessage
    -0.71
    zees
    -0.64
     Azerb
    -0.62
    agall
    -0.62
    iHUD
    -0.62
    negie
    -0.61
    activity
    -0.61
     apologies
    -0.61
    £ı
    -0.59
    POSITIVE LOGITS
    horn
    0.70
     Fest
    0.62
    utils
    0.61
     (#
    0.59
     Vend
    0.58
     fold
    0.58
    ickets
    0.58
    anium
    0.56
    ga
    0.55
     holder
    0.55
    Activations Density 0.649%

    No Known Activations