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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

    instances of the word "Sit" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Sit" and different contexts in which it is used

    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
    ħĭ
    -0.95
    ¥ŀ
    -0.78
    avorite
    -0.77
     subp
    -0.70
    Leary
    -0.70
    axter
    -0.68
     Flavoring
    -0.65
    VERTISEMENT
    -0.65
    dinand
    -0.63
    pedia
    -0.63
    POSITIVE LOGITS
    uations
    1.39
    uated
    1.21
    uation
    1.19
    Sit
    1.12
    sit
    1.02
     Sit
    1.00
    ters
    0.93
    vati
    0.93
    uating
    0.85
    emate
    0.82
    Activations Density 0.015%

    No Known Activations