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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. 14775
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    Explanations

    terms related to fundamental beliefs or rules

    oai_token-act-pair · gpt-3.5-turbo

    references to guiding principles or standards 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
     queue
    -0.74
    locked
    -0.69
    replace
    -0.67
    rection
    -0.66
    ird
    -0.66
    zz
    -0.63
    bered
    -0.62
    ocked
    -0.61
    lock
    -0.60
     Waiting
    -0.60
    POSITIVE LOGITS
     principles
    3.54
     Principles
    2.69
     principle
    2.27
     tenets
    1.99
     ideals
    1.96
     fundamentals
    1.92
     concepts
    1.79
     philosophies
    1.71
     Principle
    1.70
     principals
    1.69
    Activations Density 0.011%

    No Known Activations