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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. 2-RES-JB
    11. 15818
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    Explanations

    proper nouns related to various topics, potentially related to science fiction or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Cer" and its variants, indicating a focus on a specific location or entity related to ceramics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ers
    -1.00
    ership
    -0.89
    icut
    -0.83
    urst
    -0.83
    ings
    -0.80
    achusetts
    -0.80
    sight
    -0.80
    utra
    -0.78
    ingly
    -0.76
    etts
    -0.75
    POSITIVE LOGITS
     millenn
    0.85
     Cer
    0.83
     ceramic
    0.80
    idian
    0.80
     cer
    0.80
     occas
    0.79
    atism
    0.77
     satell
    0.77
    oding
    0.76
     therap
    0.76
    Activations Density 0.010%

    No Known Activations