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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. 10-RES-JB
    11. 8511
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    Explanations

    phrases related to obtaining something through various means, often suggesting different levels of ethicality or legality

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to obtaining or acquiring something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tanz
    -0.73
    raints
    -0.64
    ynski
    -0.61
    iasco
    -0.61
     cardinal
    -0.60
    mare
    -0.59
    eal
    -0.58
    alde
    -0.56
     Strateg
    -0.56
    ella
    -0.56
    POSITIVE LOGITS
     rid
    1.72
     acquainted
    1.05
     Started
    0.98
     away
    0.96
     ahead
    0.93
     into
    0.89
     started
    0.88
     reimb
    0.87
     closer
    0.86
     traction
    0.82
    Activations Density 0.097%

    No Known Activations