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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. 2-RES-JB
    11. 21495
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    Explanations

    references to a specific company or entity, in this case, "Obsidian"

    oai_token-act-pair · gpt-3.5-turbo

    references to the game development company Obsidian Entertainment

    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
    WAY
    -0.69
    buster
    -0.68
    xit
    -0.65
    lua
    -0.64
     Kali
    -0.63
     bare
    -0.63
     breeze
    -0.61
    UTH
    -0.61
    boarding
    -0.61
    RAW
    -0.60
    POSITIVE LOGITS
    erver
    1.22
    olesc
    1.17
    erving
    1.09
    ervation
    1.07
    olescent
    1.04
    icion
    0.97
    ensible
    0.96
    erv
    0.96
    erves
    0.95
    idian
    0.95
    Activations Density 0.008%

    No Known Activations