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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. 10-RES-JB
    6. 22005
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    INDEX
    Explanations

    information related to the amount of time someone has spent in a particular place or position

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating duration or time spent in a particular activity or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iru
    -0.79
    ucker
    -0.71
    lees
    -0.71
    endif
    -0.70
    aults
    -0.67
    Adds
    -0.63
    ioned
    -0.62
    illin
    -0.61
     pile
    -0.61
    arget
    -0.59
    POSITIVE LOGITS
     seven
    1.21
     eight
    1.20
     nine
    1.19
     seventeen
    1.16
     six
    1.16
     decades
    1.15
     five
    1.15
     fourteen
    1.14
     eighteen
    1.14
     thirty
    1.13
    Activations Density 0.142%

    No Known Activations