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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
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    Explanations

    mentions of the word "seal" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    words related to various aspects of meals or cooking, particularly the term "meal."

    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
     DRAG
    -0.83
     Tosh
    -0.63
     Cars
    -0.63
     Newsp
    -0.62
     Sul
    -0.62
     Bash
    -0.61
     Cumber
    -0.60
     cane
    -0.59
     Fiction
    -0.59
     Pryor
    -0.59
    POSITIVE LOGITS
    eal
    1.05
    tarian
    0.82
    MpServer
    0.77
    ously
    0.77
    ization
    0.76
    adin
    0.75
    worms
    0.75
    arily
    0.74
    ership
    0.74
    tarians
    0.74
    Activations Density 0.011%

    No Known Activations