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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. 0-RES-JB
    11. 11604
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    INDEX
    Explanations

    words related to positions or roles such as 'auditors' or 'competitors'

    oai_token-act-pair · gpt-3.5-turbo

    words related to monitoring, observers, or overseers in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rolling
    -0.74
     fielding
    -0.69
     availability
    -0.65
     roll
    -0.62
     cracking
    -0.61
    wave
    -0.61
     conve
    -0.59
     rolled
    -0.59
     cre
    -0.58
     texture
    -0.55
    POSITIVE LOGITS
    itors
    4.58
    itor
    2.68
    itance
    1.51
    iting
    1.50
    itions
    1.44
    itiveness
    1.42
    ited
    1.36
    itives
    1.29
    its
    1.19
    encers
    1.18
    Activations Density 0.015%

    No Known Activations