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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. 11-RES-JB
    6. 19179
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    Explanations

    instructions or steps in a process that involve the use of tools

    oai_token-act-pair · gpt-3.5-turbo

    culinary terms and techniques related to food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ublic
    -0.76
    ategories
    -0.72
     transcripts
    -0.68
     Founders
    -0.67
     greets
    -0.66
     genomes
    -0.66
    otypes
    -0.65
    LCS
    -0.65
     billboards
    -0.64
     storylines
    -0.64
    POSITIVE LOGITS
     scissors
    1.41
     knife
    1.18
     tong
    1.16
     fingert
    1.15
     caut
    1.12
     nail
    1.10
     fing
    1.07
     hacks
    1.06
     pencil
    1.05
     razor
    1.05
    Activations Density 0.184%

    No Known Activations