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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. 5048
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    INDEX
    Explanations

    words containing the substring "om" followed by the number 9

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "om"

    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
    ++++++++++++++++
    -0.70
    LIST
    -0.70
     Actual
    -0.63
     Wad
    -0.62
    lift
    -0.60
     Veil
    -0.59
     overpower
    -0.59
     Kindle
    -0.59
     nexus
    -0.58
     Brees
    -0.58
    POSITIVE LOGITS
    orrow
    1.13
    puter
    1.12
    otive
    1.07
    obile
    1.06
    psons
    1.00
    atoes
    0.99
    pson
    0.96
    useum
    0.96
    puters
    0.95
    merce
    0.94
    Activations Density 0.019%

    No Known Activations