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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. 16793
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    Explanations

    words related to actions or activities that are being done

    oai_token-act-pair · gpt-3.5-turbo

    the recurring use of the word "doing" in various contexts

    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
    lights
    -0.75
    wit
    -0.71
    sg
    -0.71
    RAFT
    -0.65
    ules
    -0.65
    Tier
    -0.65
    pter
    -0.65
     Secondly
    -0.64
    isu
    -0.64
    liner
    -0.64
    POSITIVE LOGITS
     brisk
    0.83
     alright
    0.81
     laundry
    0.80
     nothing
    0.78
     chores
    0.78
     homework
    0.77
     something
    0.76
     wonders
    0.76
     renovations
    0.75
     cardio
    0.75
    Activations Density 0.049%

    No Known Activations