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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. 6-RES-JB
    6. 16678
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    INDEX
    Explanations

    dates and time-related patterns

    oai_token-act-pair · gpt-3.5-turbo

    frequency or occurrence of punctuation and certain phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disadvant
    -0.37
    yip
    -0.37
     [|
    -0.36
    romeda
    -0.35
     grooming
    -0.35
    */
    -0.35
     handshake
    -0.34
     */
    -0.33
    Downloadha
    -0.33
     conflic
    -0.33
    POSITIVE LOGITS
    ãĥķãĤ©
    0.38
    gov
    0.36
    conom
    0.34
    RNA
    0.34
    sylv
    0.34
    ochet
    0.32
    ologic
    0.32
    ãĥĻ
    0.31
    cade
    0.31
    annabin
    0.31
    Activations Density 2.940%

    No Known Activations