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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. 3-RES-JB
    11. 9374
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    INDEX
    Explanations

    mentions of the word "mold"

    oai_token-act-pair · gpt-3.5-turbo

    references to mold and its various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.72
     derog
    -0.66
    ZE
    -0.64
     qualitative
    -0.61
    GS
    -0.61
    IGHTS
    -0.60
     WTO
    -0.60
    amate
    -0.60
    abeth
    -0.59
     FANTASY
    -0.59
    POSITIVE LOGITS
     mold
    1.10
     mould
    1.03
    ering
    0.91
    eus
    0.83
     molded
    0.82
    ovan
    0.80
    ered
    0.80
    eers
    0.79
    lings
    0.78
    ing
    0.76
    Activations Density 0.011%

    No Known Activations