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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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    Explanations

    phrases related to brightening or lighting up something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to lighting up or energizing situations or emotions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.76
    Maker
    -0.62
    Ô
    -0.58
    "]=>
    -0.57
    thumbnails
    -0.57
     deleg
    -0.57
    _>
    -0.56
    Folder
    -0.56
     Kahn
    -0.56
     "$:/
    -0.54
    POSITIVE LOGITS
    dates
    0.75
    river
    0.74
    icts
    0.70
    roots
    0.68
    reck
    0.68
    rights
    0.67
    swing
    0.66
    draft
    0.66
    ris
    0.65
    grading
    0.65
    Activations Density 0.060%

    No Known Activations