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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. 0-RES-JB
    6. 17369
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    Explanations

    years in the 1998

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 1998

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Token
    -0.87
    422
    -0.70
     sab
    -0.69
    Ĩ
    -0.68
    antry
    -0.68
    abb
    -0.67
     sounded
    -0.65
    qt
    -0.64
    Medium
    -0.64
    MU
    -0.64
    POSITIVE LOGITS
     1998
    2.94
     1997
    2.90
     1999
    2.71
     1996
    2.66
     1995
    2.40
    1998
    2.19
     2001
    2.19
    1997
    2.17
     2002
    2.12
     1994
    2.06
    Activations Density 0.030%

    No Known Activations