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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. 3-RES-JB
    11. 12350
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    Explanations

    occurrences of the year 2006

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly 2006

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    warts
    -0.76
    ymes
    -0.66
    unders
    -0.64
    uns
    -0.62
     Vader
    -0.60
    amins
    -0.60
    estine
    -0.60
     ancest
    -0.60
     lawy
    -0.59
    ellen
    -0.59
    POSITIVE LOGITS
    å¹
    0.98
    20439
    0.83
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.74
     onwards
    0.74
    velength
    0.74
    assetsadobe
    0.73
    cture
    0.73
    0100
    0.68
     Fuk
    0.66
    1016
    0.63
    Activations Density 0.021%

    No Known Activations