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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. 9-RES-JB
    6. 1204
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    Explanations

    references to various industries

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries and their characteristics or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     omission
    -0.78
     cuff
    -0.67
     apologise
    -0.67
    tein
    -0.65
     swear
    -0.64
     scrolls
    -0.64
     deletion
    -0.64
     deeds
    -0.63
    terday
    -0.63
     delet
    -0.63
    POSITIVE LOGITS
     booming
    1.21
     thriving
    1.08
     flourishing
    1.07
     flourished
    1.03
     dominated
    1.00
     stagn
    0.94
     prosper
    0.92
     fragmented
    0.89
    growing
    0.87
     thri
    0.86
    Activations Density 0.391%

    No Known Activations