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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 10256
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    Explanations

    years from the 1990s

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 1997

    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
    hop
    -0.69
    Tu
    -0.67
    hatt
    -0.63
    Tomorrow
    -0.63
    Nation
    -0.62
    ship
    -0.61
    tro
    -0.61
    ysc
    -0.61
    rop
    -0.61
    EStreamFrame
    -0.60
    POSITIVE LOGITS
    ĸļ
    0.89
    ãĤ¦ãĤ¹
    0.86
    å¹
    0.83
    -'
    0.83
    ãĥĥãĥī
    0.82
     1996
    0.73
     "$:/
    0.71
     onward
    0.70
    1996
    0.68
    1997
    0.68
    Activations Density 0.025%

    No Known Activations