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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. 3-RES-JB
    11. 11347
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    keywords related to theoretical concepts or models

    oai_token-act-pair · gpt-3.5-turbo

    terms related to theoretical concepts and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    upon
    -0.86
    guard
    -0.72
    lain
    -0.71
    bows
    -0.69
    grow
    -0.69
    uv
    -0.68
    win
    -0.66
    velt
    -0.66
    gg
    -0.65
    guards
    -0.65
    POSITIVE LOGITS
    ities
    0.88
     equival
    0.85
    ity
    0.84
     physicist
    0.84
    ité
    0.83
    istically
    0.80
     theoretical
    0.79
     guiActiveUn
    0.79
     basis
    0.79
     physicists
    0.77
    Activations Density 0.008%

    No Known Activations