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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. 20647
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    Explanations

    phrases related to technological activities or tools

    oai_token-act-pair · gpt-3.5-turbo

    verbs and nouns related to action and manipulation

    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
    ãĥĹ
    -0.65
    º
    -0.60
    capacity
    -0.60
    WR
    -0.58
    arsity
    -0.57
    immer
    -0.57
    aida
    -0.57
    ãĤ´ãĥ³
    -0.56
     constellation
    -0.56
    ãĥ¼ãĥĨãĤ£
    -0.56
    POSITIVE LOGITS
     oneself
    0.93
    ulate
    0.90
    ify
    0.89
     them
    0.89
     ourselves
    0.86
     everything
    0.86
     yourself
    0.85
    edly
    0.85
     THEM
    0.83
     him
    0.82
    Activations Density 0.352%

    No Known Activations