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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. 6-RES-JB
    11. 4474
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    Explanations

    terms related to quality

    oai_token-act-pair · gpt-3.5-turbo

    references to quality 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
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    Negative Logits
    opa
    -0.69
    ften
    -0.69
    coni
    -0.68
    kens
    -0.67
    vention
    -0.66
    canon
    -0.65
    stall
    -0.65
    erald
    -0.65
    aida
    -0.65
    cart
    -0.65
    POSITIVE LOGITS
     assurance
    1.34
     quality
    1.00
    Quality
    0.90
     improvement
    0.87
     Quality
    0.78
     goods
    0.73
     equival
    0.73
    Reviewer
    0.72
    quality
    0.71
     metrics
    0.70
    Activations Density 0.034%

    No Known Activations