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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 2402
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    Explanations

    mentions of the name "Chanel" with varying levels of activations, presumably related to the fashion brand or possibly a person named Chanel

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Chan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.88
     Marijuana
    -0.73
    Trend
    -0.70
    ãĤº
    -0.69
     mileage
    -0.69
    ACTION
    -0.69
    GROUND
    -0.68
     Curiosity
    -0.67
     NETWORK
    -0.66
     Cannabis
    -0.66
    POSITIVE LOGITS
     Chan
    1.14
    istry
    1.01
    bara
    0.98
    ning
    0.95
    oir
    0.94
    Chan
    0.93
    etics
    0.85
    Serv
    0.84
    eless
    0.80
    zon
    0.80
    Activations Density 0.006%

    No Known Activations