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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. 5347
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    Explanations

    mentions of a specific location named Les

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Les" or variations of it

    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
    ICE
    -0.80
    ACTED
    -0.72
    DERR
    -0.71
    ãĥ¼ãĥĨãĤ£
    -0.71
    YING
    -0.68
    ANI
    -0.67
    è¦ļéĨĴ
    -0.66
    ĻĤ
    -0.66
    ARK
    -0.66
    ãĥĥãĥĪ
    -0.66
    POSITIVE LOGITS
    bians
    1.13
    bian
    0.93
    ukemia
    0.81
    bourg
    0.81
    nar
    0.81
    mut
    0.80
    leys
    0.80
    wana
    0.78
    agues
    0.78
     Les
    0.78
    Activations Density 0.012%

    No Known Activations