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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. 7-RES-JB
    11. 19386
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    Explanations

    references to specific years

    oai_token-act-pair · gpt-3.5-turbo

    references to the years 2016 and 2017

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     clipping
    -0.64
     TEXT
    -0.63
    oxin
    -0.63
    abilia
    -0.62
     bluff
    -0.62
     zipper
    -0.61
     sshd
    -0.60
    ierrez
    -0.60
     ancest
    -0.60
     kins
    -0.59
    POSITIVE LOGITS
    å¹
    0.95
    -'
    0.81
    âĢ²
    0.77
    ãĥ¼ãĥ«
    0.77
    20439
    0.74
     onwards
    0.73
    âĢ³
    0.71
    âĢķ
    0.70
     Month
    0.68
    sburg
    0.67
    Activations Density 0.088%

    No Known Activations