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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. 8-RES-JB
    11. 2041
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    Explanations

    words related to significant events or decisions

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to announcements and decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imble
    -0.61
    oyal
    -0.59
    agogue
    -0.59
     certific
    -0.57
     adverse
    -0.56
     slightest
    -0.55
     baker
    -0.53
    oÄŁan
    -0.53
    aku
    -0.53
    pires
    -0.52
    POSITIVE LOGITS
     succinct
    0.85
     differently
    0.84
    escription
    0.83
     vividly
    0.81
    TextColor
    0.79
    FontSize
    0.78
    :[
    0.78
    :]
    0.73
     hotline
    0.72
     sarcast
    0.71
    Activations Density 0.845%

    No Known Activations