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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. 4-RES-JB
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    Explanations

    phrases with the word "you're" followed by further content

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "you’re" in various contexts

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

    No Comments

    Negative Logits
     mater
    -0.81
    osate
    -0.74
     separates
    -0.67
    andise
    -0.67
     Reduce
    -0.65
    ESE
    -0.64
    pedia
    -0.63
    llor
    -0.61
    shire
    -0.60
    ainer
    -0.59
    POSITIVE LOGITS
     gonna
    1.37
     supposed
    0.95
     gotta
    0.95
     going
    0.95
     lucky
    0.84
     hoping
    0.84
     not
    0.82
     afraid
    0.80
     glad
    0.80
     still
    0.75
    Activations Density 0.051%

    No Known Activations