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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. 9-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to the presence of certain animal species or wildlife

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    WATCH
    -0.75
     scratch
    -0.72
    ÙĴ
    -0.70
    Bloom
    -0.68
     underdog
    -0.67
     Ryder
    -0.67
     deflation
    -0.66
     curing
    -0.66
     modeling
    -0.65
     savings
    -0.64
    POSITIVE LOGITS
    ensis
    1.06
    aii
    1.00
    anu
    0.95
    phia
    0.90
    ui
    0.88
    oru
    0.88
    esi
    0.86
    ai
    0.86
    iki
    0.85
    itans
    0.82
    Activations Density 0.429%

    No Known Activations