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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20247
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    acus
    -0.98
    vet
    -0.86
    osate
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    ÄŁ
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    Äį
    -0.77
    speak
    -0.76
    ÅŁ
    -0.75
    Õ
    -0.74
    iking
    -0.74
    peak
    -0.72
    POSITIVE LOGITS
     timeframe
    0.84
     circumstances
    0.83
     tissues
    0.82
     technical
    0.81
     sections
    0.79
     geographical
    0.77
     conditions
    0.75
     paperwork
    0.75
     amount
    0.74
     geographic
    0.74
    Activations Density 0.130%

    No Known Activations