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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. 1767
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    Explanations

    mentions or discussions of mold

    oai_token-act-pair · gpt-3.5-turbo

    references to mold and related terms

    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
     WTO
    -0.81
    vernment
    -0.74
    atre
    -0.68
    aez
    -0.65
    ZE
    -0.65
    riott
    -0.63
    IGHTS
    -0.63
    ights
    -0.63
    tein
    -0.62
     Hath
    -0.60
    POSITIVE LOGITS
    ering
    0.99
    ovan
    0.89
    ered
    0.87
    eus
    0.87
    eer
    0.85
     mold
    0.84
    resses
    0.81
     spores
    0.81
    eers
    0.81
     mould
    0.80
    Activations Density 0.044%

    No Known Activations