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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 22589
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    Explanations

    proper nouns, such as names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to people and organizations involved in beverage regulation or production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Khe
    -0.65
     Thoughts
    -0.62
    hammad
    -0.62
    ä½ľ
    -0.61
    é¾įå¥ij士
    -0.60
    fix
    -0.59
     Gemini
    -0.59
     insanity
    -0.58
    metry
    -0.58
     Uzbek
    -0.58
    POSITIVE LOGITS
    agement
    1.10
    age
    1.07
    agements
    0.92
    abella
    0.92
    keyes
    0.90
    aged
    0.90
    ages
    0.84
    nings
    0.84
    nect
    0.82
    swick
    0.81
    Activations Density 0.020%

    No Known Activations