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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. 10-RES-JB
    11. 12783
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    enegger
    -0.99
    schild
    -0.68
     HELL
    -0.68
     layer
    -0.64
     bracelet
    -0.64
    ãģ®å®
    -0.62
     layers
    -0.61
     Syd
    -0.61
     LEVEL
    -0.60
    å°Ĩ
    -0.60
    POSITIVE LOGITS
    ests
    1.24
    zes
    1.24
    vy
    1.15
    etary
    1.15
    eta
    1.05
    zed
    1.00
    vet
    0.98
    ety
    0.98
    ory
    0.98
    angular
    0.95
    Activations Density 0.014%

    No Known Activations