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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. 16386
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    Explanations

    discrete words or phrases containing the substring "Moh"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Moh" in various contexts

    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
    ãĥ¯
    -0.94
    istics
    -0.87
     balloons
    -0.77
    istically
    -0.74
    chnology
    -0.70
    =-=-=-=-=-=-=-=-
    -0.70
    xxxxxxxx
    -0.70
    ãĤ¦
    -0.68
     Tycoon
    -0.68
    ãĥ¼ãĥĨãĤ£
    -0.67
    POSITIVE LOGITS
    awk
    1.40
    awks
    1.27
    undai
    1.04
    renheit
    0.94
    abit
    0.93
    sin
    0.93
    doms
    0.92
    azard
    0.89
    atche
    0.87
    adish
    0.86
    Activations Density 0.012%

    No Known Activations