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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. 8-RES-JB
    11. 4177
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    Explanations

    phrases related to testing different things or hypotheses

    oai_token-act-pair · gpt-3.5-turbo

    references to testing or evaluation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.77
    CHAPTER
    -0.76
    SOURCE
    -0.75
     Deaths
    -0.72
    MpServer
    -0.71
    \">
    -0.71
    Court
    -0.66
     mourn
    -0.66
    RIP
    -0.62
     celebrations
    -0.61
    POSITIVE LOGITS
     hypotheses
    1.22
     feasibility
    1.03
    worthiness
    1.00
     hypothesis
    0.98
     viability
    0.97
     readiness
    0.95
     efficacy
    0.78
    enegger
    0.78
     experimental
    0.77
     effectiveness
    0.77
    Activations Density 0.321%

    No Known Activations