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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. 5-RES-JB
    6. 15350
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    INDEX
    Explanations

    mentions of news coverage or stories

    oai_token-act-pair · gpt-3.5-turbo

    elements related to media coverage and news stories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     palate
    -0.74
    ertodd
    -0.74
    */(
    -0.72
    ranch
    -0.70
    inence
    -0.68
     joystick
    -0.67
    ojure
    -0.67
    orest
    -0.66
    ometry
    -0.65
    gettable
    -0.65
    POSITIVE LOGITS
    reporting
    0.86
     MSM
    0.81
     Murdoch
    0.80
     reporting
    0.80
     articles
    0.77
    essler
    0.75
     dissemin
    0.74
     headlines
    0.74
    reports
    0.74
     headlined
    0.73
    Activations Density 0.154%

    No Known Activations