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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. 6-RES-JB
    6. 21216
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    Explanations

    verbs related to testing and assessment

    oai_token-act-pair · gpt-3.5-turbo

    references to testing and evaluation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lance
    -0.75
    CHAPTER
    -0.70
    \">
    -0.70
     Author
    -0.68
     Editorial
    -0.67
    displayText
    -0.67
    anza
    -0.66
    fur
    -0.66
    ('
    -0.66
    ãĥ£
    -0.63
    POSITIVE LOGITS
     hypotheses
    0.99
     readiness
    0.91
    worthiness
    0.84
     viability
    0.83
     hypothesis
    0.83
     feasibility
    0.81
    formance
    0.79
     patience
    0.73
     validity
    0.71
     chops
    0.71
    Activations Density 0.195%

    No Known Activations