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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. 4-RES-JB
    11. 16079
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Wang" and related variations

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

    No Comments

    Negative Logits
    phia
    -0.76
    */(
    -0.73
    TAIN
    -0.67
    pent
    -0.65
    byter
    -0.63
     sucker
    -0.63
    tarians
    -0.63
     commissioner
    -0.63
    phis
    -0.62
     charge
    -0.61
    POSITIVE LOGITS
    wana
    1.07
     Chao
    1.05
     Wang
    0.94
    jing
    0.92
    zhou
    0.91
     Fei
    0.90
     Jian
    0.89
     Bei
    0.89
    aii
    0.88
    Tang
    0.87
    Activations Density 0.011%

    No Known Activations