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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. 5-RES-JB
    6. 10540
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    Explanations

    specific words related to watches

    oai_token-act-pair · gpt-3.5-turbo

    references to watches and watch-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.82
    «ĺ
    -0.78
    EngineDebug
    -0.76
    bryce
    -0.67
     congr
    -0.65
     lil
    -0.65
    ¬¼
    -0.65
    ++++++++++++++++
    -0.64
    å§«
    -0.63
    ãĤ¨ãĥ«
    -0.63
    POSITIVE LOGITS
    tower
    1.31
    dogs
    1.20
    dog
    1.08
    watch
    1.01
    maker
    0.91
     watches
    0.88
    bands
    0.87
     Watching
    0.86
    strap
    0.85
    list
    0.84
    Activations Density 0.030%

    No Known Activations