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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. 3300
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal issues and violations

    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
     realise
    -0.78
     organise
    -0.77
     learnt
    -0.76
     endeavour
    -0.70
     Universities
    -0.69
     analyse
    -0.66
     organisations
    -0.66
    ↵Âł
    -0.65
     enqu
    -0.65
     organising
    -0.64
    POSITIVE LOGITS
     Zika
    0.66
     Paddock
    0.65
     Canaver
    0.65
     Manziel
    0.64
     POLITICO
    0.62
     marijuana
    0.61
     billed
    0.61
     âĢķ
    0.61
     ineligible
    0.61
     ObamaCare
    0.60
    Activations Density 1.926%

    No Known Activations