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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. 4038
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    Explanations

    references to the beginning or start of something, such as movies, events, or articles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "opening" events or occurrences

    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
    ieving
    -0.87
    rior
    -0.78
    ufact
    -0.77
    iever
    -0.75
    hovah
    -0.74
    lean
    -0.74
    heres
    -0.74
    rogens
    -0.74
    rome
    -0.72
    ievers
    -0.71
    POSITIVE LOGITS
     ceremony
    1.11
     ceremonies
    1.07
     weekend
    0.92
     crawl
    0.87
     credits
    0.86
     sequence
    0.84
     Weekend
    0.83
     salv
    0.83
     Hours
    0.82
     rites
    0.81
    Activations Density 0.053%

    No Known Activations