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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. 23874
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    INDEX
    Explanations

    references 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 @ 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
    kens
    -0.79
    apters
    -0.74
    oras
    -0.74
    coni
    -0.74
    canon
    -0.74
    ften
    -0.72
    cart
    -0.72
    usra
    -0.69
    stanbul
    -0.68
    ppelin
    -0.65
    POSITIVE LOGITS
     assurance
    1.41
     quality
    0.90
    Quality
    0.83
     improvement
    0.82
     measurement
    0.76
     materials
    0.74
     control
    0.74
     Quality
    0.71
     goods
    0.71
    smanship
    0.70
    Activations Density 0.039%

    No Known Activations