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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. 22179
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values or counts related to various subjects

    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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    Negative Logits
     civilisation
    -0.70
    naissance
    -0.67
     ageing
    -0.67
     favour
    -0.65
     favoured
    -0.65
     manoeuv
    -0.63
     recognise
    -0.62
     honoured
    -0.61
     organising
    -0.59
    bourg
    -0.59
    POSITIVE LOGITS
    ³³³
    0.89
    Bus
    0.88
    îĢ
    0.85
    âĶĢ
    0.82
    -----
    0.82
    à¦
    0.81
    âĹı
    0.81
    ³³³³
    0.80
    âĺ
    0.80
    ̶
    0.80
    Activations Density 0.262%

    No Known Activations