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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 19583
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    Explanations

    words related to academic papers, specifically focusing on theses and dissertations

    oai_token-act-pair · gpt-3.5-turbo

    references to academic theses and dissertations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gm
    -0.71
    tz
    -0.70
    ãĥĥãĥĪ
    -0.70
    theless
    -0.69
    obby
    -0.69
    bies
    -0.66
    portion
    -0.64
    GBT
    -0.63
    tn
    -0.63
    ts
    -0.60
    POSITIVE LOGITS
    ertation
    1.35
     thesis
    1.22
    uates
    0.94
     dissertation
    0.91
    arios
    0.79
    doc
    0.78
    ually
    0.77
    pai
    0.76
    urer
    0.75
    posium
    0.73
    Activations Density 0.006%

    No Known Activations