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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22244
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    Explanations

    phrases related to conducting experiments or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    references to testing or evaluations of various subjects or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Deaths
    -0.79
    displayText
    -0.76
    \">
    -0.75
    lance
    -0.72
    CHAPTER
    -0.70
    ¨
    -0.67
    externalActionCode
    -0.62
    SOURCE
    -0.60
    enza
    -0.60
    anza
    -0.59
    POSITIVE LOGITS
     hypotheses
    1.12
     viability
    0.92
     feasibility
    0.92
     readiness
    0.91
     hypothesis
    0.91
    worthiness
    0.91
     validity
    0.76
     correctness
    0.74
     effectiveness
    0.72
     efficacy
    0.72
    Activations Density 0.216%

    No Known Activations