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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. 1-RES-JB
    11. 758
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    Explanations

    phrases mentioning specific acronyms or terms such as "RO" at high activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the acronym "RO" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.74
    riad
    -0.71
    enegger
    -0.70
    ãĤº
    -0.70
    gerald
    -0.69
     Crit
    -0.69
    ifications
    -0.68
     Kaufman
    -0.68
     regards
    -0.68
    ifier
    -0.67
    POSITIVE LOGITS
    bably
    1.03
    pees
    1.02
    VERS
    0.98
    VO
    0.97
     RO
    0.95
     resil
    0.92
    RO
    0.87
    ggie
    0.84
    FILE
    0.82
    scill
    0.82
    Activations Density 0.007%

    No Known Activations