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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. 8-RES-JB
    11. 12925
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    INDEX
    Explanations

    phrases indicating importance or necessity

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to importance and necessity

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    hement
    -0.71
    taboola
    -0.69
    regon
    -0.68
    avery
    -0.66
    abad
    -0.66
    utherland
    -0.65
    yssey
    -0.65
    mbuds
    -0.63
    ipped
    -0.63
    LAN
    -0.62
    POSITIVE LOGITS
     happening
    0.89
     happen
    0.69
    piring
    0.69
     transpired
    0.68
     Crimea
    0.64
     grunt
    0.64
     difference
    0.63
    pires
    0.62
     Happ
    0.60
     Dre
    0.59
    Activations Density 0.204%

    No Known Activations