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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. 1-RES-JB
    6. 6218
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    Explanations

    specific academic terms or names, potentially related to scholarly activity or research

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Sch" or related names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grateful
    -0.74
     constrained
    -0.71
     monarch
    -0.69
     censored
    -0.67
     subjected
    -0.62
     deprived
    -0.61
     measured
    -0.61
    ocally
    -0.61
    DEN
    -0.60
     Korra
    -0.60
    POSITIVE LOGITS
    izoph
    1.10
    thal
    1.07
    acher
    1.05
    midt
    1.04
    acht
    1.03
    ulz
    0.99
    uler
    0.97
    olars
    0.95
    atz
    0.95
    sch
    0.94
    Activations Density 0.007%

    No Known Activations