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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. 18605
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    INDEX
    Explanations

    phrases indicating anticipation or expectation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future expectations or predictions

    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
    pac
    -0.70
    Cre
    -0.66
    redit
    -0.66
    killed
    -0.64
    adra
    -0.64
    parent
    -0.63
    ethyl
    -0.63
    processor
    -0.61
    Friends
    -0.61
    anium
    -0.61
    POSITIVE LOGITS
     CONTIN
    0.98
     NEXT
    0.75
     yourselves
    0.72
     occasional
    0.71
     plenty
    0.70
     sometime
    0.70
     yourself
    0.67
     sag
    0.67
     TW
    0.66
     tomorrow
    0.66
    Activations Density 0.140%

    No Known Activations