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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. 3-RES-JB
    6. 2578
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    INDEX
    Explanations

    references to specific entities or topics within various contexts

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to cultural and societal topics, particularly those that involve identity and significant events

    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
     CLSID
    -0.38
    é¾įå
    -0.36
    Discussion
    -0.35
    ãĥł
    -0.34
     Gemini
    -0.34
     Thrust
    -0.34
    ãĥİ
    -0.33
     Cunning
    -0.33
    later
    -0.32
    Lago
    -0.31
    POSITIVE LOGITS
    terness
    0.40
     arrang
    0.38
    natureconservancy
    0.37
     âĢº
    0.36
    sych
    0.35
    atform
    0.33
    hes
    0.33
    bender
    0.33
    taboola
    0.32
    weed
    0.32
    Activations Density 3.042%

    No Known Activations