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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. 6-RES-JB
    6. 96
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    INDEX
    Explanations

    instances where someone is looking at someone or something closely

    oai_token-act-pair · gpt-3.5-turbo

    references to self-reflection and examination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icia
    -0.70
    shire
    -0.66
    arsity
    -0.66
    hers
    -0.64
    UME
    -0.63
    heit
    -0.63
     depended
    -0.62
    ante
    -0.62
    anchester
    -0.62
    ¯¯
    -0.60
    POSITIVE LOGITS
    paren
    0.94
     scoreboard
    0.81
     replay
    0.79
     blinking
    0.74
     positives
    0.72
     horizon
    0.72
     possibilities
    0.71
    screen
    0.71
     screens
    0.71
     microscope
    0.70
    Activations Density 0.266%

    No Known Activations