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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. 0-RES-JB
    6. 19817
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    Explanations

    markers or indicators in text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to markers and indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vaj
    -0.73
     Proc
    -0.69
     Hosp
    -0.68
     Unic
    -0.68
     Cha
    -0.67
    bowl
    -0.67
     Unified
    -0.66
    Commerce
    -0.66
     unb
    -0.63
    ceans
    -0.63
    POSITIVE LOGITS
     marker
    3.95
     markers
    3.52
     biomark
    1.41
     marking
    1.34
     mark
    1.29
     markings
    1.26
    mark
    1.24
     indicator
    1.24
     plaque
    1.19
     unmarked
    1.16
    Activations Density 0.012%

    No Known Activations