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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 12226
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    Explanations

    abbreviations or acronyms ending with 'AC' followed by a number indicating intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to the acronym "AC," which likely corresponds to an organization or concept mentioned multiple times

    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
    hood
    -0.75
     Colt
    -0.72
    ãĥĥãĥĪ
    -0.71
     Veter
    -0.67
    backer
    -0.67
     Fenrir
    -0.66
     Pax
    -0.66
     Austrian
    -0.65
     Seymour
    -0.65
    ãĥīãĥ©ãĤ´ãĥ³
    -0.64
    POSITIVE LOGITS
    HE
    1.07
    olor
    1.05
    rylic
    1.00
    atech
    0.96
    RIC
    0.94
    CEPT
    0.93
    henko
    0.92
    AB
    0.92
    EP
    0.91
    osta
    0.88
    Activations Density 0.006%

    No Known Activations