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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. 20550
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    Explanations

    specific acronyms related to organizations or programs, especially those denoted by 'OP'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of organizations or committees, particularly those related to environmental or political topics

    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
    ãĥīãĥ©ãĤ´ãĥ³
    -0.96
     Monstrous
    -0.73
     Aval
    -0.72
     Carib
    -0.70
    ãĥĨãĤ£
    -0.70
     Bermuda
    -0.67
     Cantor
    -0.67
    ãģ®å®
    -0.66
     à¨
    -0.65
    ãĥĸ
    -0.65
    POSITIVE LOGITS
    olicy
    1.20
    yright
    1.13
    etition
    1.11
    arent
    1.10
    rompt
    1.10
    inion
    1.09
    OP
    1.08
    ropri
    1.08
    lyak
    1.07
    rint
    1.06
    Activations Density 0.007%

    No Known Activations