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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. 19943
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    INDEX
    Explanations

    terms related to individuals named "Pr" with a high activation value of 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    instances of the abbreviation "Pr" followed by numbers or related terms, indicating references to specific individuals or categories

    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
     EntityItem
    -0.75
    INESS
    -0.72
    ãĥ¼ãĥ«
    -0.66
    beard
    -0.66
     spirited
    -0.65
    chnology
    -0.65
    dayName
    -0.65
    manship
    -0.64
     localization
    -0.63
    rities
    -0.63
    POSITIVE LOGITS
    atche
    1.23
    udence
    1.15
    imes
    1.06
    ima
    1.00
    inter
    0.97
    ussia
    0.96
    icer
    0.95
    ices
    0.95
    ager
    0.94
    ag
    0.93
    Activations Density 0.010%

    No Known Activations