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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 1683
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    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Ho" alongside associated numerical values or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     totality
    -0.74
    ications
    -0.70
    omething
    -0.68
    ãĤ¼ãĤ¦ãĤ¹
    -0.66
     confir
    -0.65
    icate
    -0.65
     Commonwealth
    -0.64
     CPC
    -0.64
    ication
    -0.64
     mileage
    -0.64
    POSITIVE LOGITS
    ppy
    1.19
    pper
    1.14
    arding
    1.11
    pping
    1.07
    gey
    1.07
    oney
    1.05
    LLOW
    1.04
    xton
    1.00
    ppe
    0.99
    eful
    0.98
    Activations Density 0.016%

    No Known Activations