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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. 4-RES-JB
    6. 18839
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    èĢħ
    -0.49
     Mehran
    -0.46
    Äĩ
    -0.44
     hesitated
    -0.44
     reverted
    -0.43
     lasted
    -0.41
     kidding
    -0.41
     notwithstanding
    -0.40
     vou
    -0.40
    ãĥ¼ãĥĨãĤ£
    -0.40
    POSITIVE LOGITS
    teness
    0.42
    doms
    0.42
    ships
    0.41
    ties
    0.39
     vantage
    0.39
    power
    0.39
    mph
    0.39
    ulz
    0.39
    arent
    0.38
    ds
    0.37
    Activations Density 2.845%

    No Known Activations