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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. 9-RES-JB
    11. 5902
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steamapps
    -0.74
    rina
    -0.72
    Export
    -0.69
    rosse
    -0.67
     rall
    -0.66
    ECD
    -0.65
    rums
    -0.65
    Textures
    -0.63
    illac
    -0.62
    nas
    -0.62
    POSITIVE LOGITS
    isance
    0.85
    posts
    0.84
    orial
    0.82
    andum
    0.79
    board
    0.77
    letter
    0.76
     notices
    0.75
     notice
    0.75
    notice
    0.69
    boards
    0.68
    Activations Density 0.031%

    No Known Activations