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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. 8-RES-JB
    11. 20105
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    dar
    -0.82
    deal
    -0.73
    mares
    -0.69
    stall
    -0.67
     Niet
    -0.65
    corn
    -0.64
     Lumpur
    -0.63
    Fal
    -0.61
    facebook
    -0.61
    going
    -0.60
    POSITIVE LOGITS
     thereto
    1.00
     materially
    0.94
     generously
    0.92
     positively
    0.90
     greatly
    0.84
     towards
    0.83
     immensely
    0.81
     enormously
    0.80
     significantly
    0.80
     toward
    0.80
    Activations Density 0.036%

    No Known Activations