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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. 16277
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    Explanations

    references to physical construction or development

    oai_token-act-pair · gpt-3.5-turbo

    references to product builds and their quality

    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
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    No Comments

    Negative Logits
    izon
    -0.84
    ricular
    -0.76
    ican
    -0.72
    ught
    -0.71
    andra
    -0.69
    cery
    -0.64
    pora
    -0.63
    tein
    -0.63
    phans
    -0.63
    mia
    -0.63
    POSITIVE LOGITS
    smanship
    0.85
    mud
    0.77
    building
    0.74
    builder
    0.74
     builder
    0.72
     suspense
    0.72
    ups
    0.71
    bot
    0.71
    raft
    0.68
     kits
    0.67
    Activations Density 0.038%

    No Known Activations