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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. 16649
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    INDEX
    Explanations

    the word "tut" or variations of it within different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to tutoring or educational guidance

    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
     saline
    -0.88
    ISSION
    -0.68
     Franch
    -0.68
    Ô
    -0.67
     Hitman
    -0.64
    phia
    -0.64
     mine
    -0.64
     Lima
    -0.63
    nect
    -0.61
     strip
    -0.59
    POSITIVE LOGITS
     tut
    1.39
     Tut
    1.07
    tle
    1.00
    ility
    0.95
    orship
    0.95
    ilities
    0.92
    tops
    0.91
    ickets
    0.90
    icket
    0.89
    ements
    0.88
    Activations Density 0.006%

    No Known Activations