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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. 17985
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    Explanations

    information related to actions or events

    oai_token-act-pair · gpt-3.5-turbo

    key terms and phrases related to actions and decisions

    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
     Mund
    -0.84
    MS
    -0.78
    285
    -0.77
     Madison
    -0.75
     +++
    -0.74
     Gamb
    -0.73
    282
    -0.72
     Berman
    -0.72
     285
    -0.72
    283
    -0.71
    POSITIVE LOGITS
    ake
    1.10
    akes
    1.09
     Take
    1.03
    take
    1.02
    Take
    0.98
     take
    0.94
    amaru
    0.92
     Taken
    0.89
     Takes
    0.88
     Draco
    0.86
    Activations Density 0.243%

    No Known Activations