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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. 5435
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    content related to allegations and legal complaints

    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
    Not in Any Lists

    No Comments

    Negative Logits
     maths
    -1.13
     favourites
    -0.98
     flavour
    -0.93
     mum
    -0.93
     colours
    -0.92
     scept
    -0.90
     realise
    -0.89
     defence
    -0.88
     recognise
    -0.87
     flavours
    -0.86
    POSITIVE LOGITS
     Defendants
    1.05
     Plaint
    1.04
     âĸĪ
    1.01
     Defendant
    1.00
     Plaintiff
    1.00
     petitioner
    0.94
     SCP
    0.91
    approximately
    0.89
     respondent
    0.86
    icipated
    0.85
    Activations Density 1.878%

    No Known Activations