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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
    11. 23712
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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 @ 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
    çīĪ
    -0.75
    GET
    -0.61
     mosqu
    -0.61
     Hes
    -0.60
     ABE
    -0.59
    mington
    -0.58
     Belg
    -0.58
     cob
    -0.57
     Mutual
    -0.57
     knees
    -0.57
    POSITIVE LOGITS
    ered
    1.67
    rator
    1.64
    rative
    1.63
    ration
    1.45
    rators
    1.45
    rations
    1.41
    rial
    1.29
    rated
    1.28
    ering
    1.27
    rating
    1.24
    Activations Density 0.105%

    No Known Activations