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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
    11. 7385
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    Explanations

    phrases related to continuous storytelling or narratives

    oai_token-act-pair · gpt-3.5-turbo

    mentions of advertisements in text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.74
    xual
    -0.73
    veland
    -0.62
     Apost
    -0.62
    £ı
    -0.62
     homebrew
    -0.62
     Emin
    -0.61
    mbuds
    -0.61
     stewards
    -0.61
     disqualified
    -0.61
    POSITIVE LOGITS
    SPONSORED
    0.85
    Mom
    0.82
    Story
    0.82
    Advertisement
    0.80
    Related
    0.79
    VERTISEMENT
    0.78
    Changes
    0.71
    Space
    0.71
    Behind
    0.70
    ATT
    0.69
    Activations Density 0.058%

    No Known Activations