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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. 211
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    Explanations

    phrases related to living and working together

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases involving living and working

    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
    Äĩ
    -0.64
    >>\
    -0.63
    ciation
    -0.62
    Ö¼
    -0.61
     Yor
    -0.61
    Adds
    -0.61
    mods
    -0.59
    èĢħ
    -0.59
    webkit
    -0.58
     needles
    -0.58
    POSITIVE LOGITS
     livest
    0.88
     breathed
    0.85
     breathing
    0.83
    agos
    0.76
     breathe
    0.75
    ifest
    0.71
     dying
    0.70
    ouver
    0.70
    assing
    0.69
    ¥ŀ
    0.68
    Activations Density 0.156%

    No Known Activations