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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. 5785
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    Explanations

    unique and specific character sequences

    oai_token-act-pair · gpt-3.5-turbo

    non-alphanumeric characters and symbols in the text

    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
    xus
    -0.94
     traged
    -0.91
     subsequ
    -0.89
     undercover
    -0.80
     srf
    -0.77
     unex
    -0.77
     sten
    -0.74
     surv
    -0.74
     downed
    -0.74
    ftime
    -0.73
    POSITIVE LOGITS
    ı
    1.17
    į
    1.11
    Ùħ
    1.04
    ł
    1.04
    س
    1.03
    ÙĪ
    1.02
    âĶģ
    1.00
    ĭ
    0.99
    د
    0.98
    İ
    0.98
    Activations Density 0.007%

    No Known Activations