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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. 7-RES-JB
    11. 6474
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    Explanations

    references to the measurement of volume

    oai_token-act-pair · gpt-3.5-turbo

    references to "volume" in various contexts

    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
    athing
    -0.78
    mond
    -0.74
    unes
    -0.73
    generic
    -0.73
    yg
    -0.72
    enegger
    -0.72
     Pearce
    -0.72
    orius
    -0.71
    gotten
    -0.70
    wart
    -0.70
    POSITIVE LOGITS
     volumes
    0.88
    umes
    0.87
     discounts
    0.86
    catentry
    0.85
     volume
    0.80
    Volume
    0.79
    é¾
    0.77
     quantities
    0.76
     knob
    0.75
     Flavoring
    0.72
    Activations Density 0.028%

    No Known Activations