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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. 1-RES-JB
    11. 2553
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    Explanations

    proper nouns, specifically related to names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Liu"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seeking
    -0.80
    ãĥ¼ãĥĨ
    -0.75
    fulness
    -0.71
    tes
    -0.69
     ESP
    -0.68
     Occupations
    -0.68
     Ryder
    -0.67
     replay
    -0.66
    dates
    -0.66
     RAD
    -0.65
    POSITIVE LOGITS
     Liu
    1.29
     Bei
    1.25
    cci
    0.98
     Xia
    0.97
    awei
    0.93
     Cao
    0.92
    jing
    0.92
     Xiang
    0.88
     Xiao
    0.88
    hao
    0.86
    Activations Density 0.004%

    No Known Activations