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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. 9-RES-JB
    6. 14589
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    Explanations

    words related to public engagement and specific words that include the substring "eng"

    oai_token-act-pair · gpt-3.5-turbo

    words related to engagement or involvement, particularly in public contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.76
    ©¶æ
    -0.69
    >>>>>>>>
    -0.66
    IFIED
    -0.64
     millenn
    -0.62
    istically
    -0.62
    andra
    -0.62
    TPPStreamerBot
    -0.62
    DragonMagazine
    -0.61
    ifications
    -0.61
    POSITIVE LOGITS
    lishes
    1.16
    raved
    1.13
    agement
    1.11
    ravings
    1.09
    rish
    1.04
    lished
    0.96
    iment
    0.95
    agements
    0.95
    rams
    0.94
    iments
    0.91
    Activations Density 0.049%

    No Known Activations