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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. 4-RES-JB
    11. 2535
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    itated
    -0.87
    hens
    -0.81
    rir
    -0.80
    uated
    -0.75
    doms
    -0.74
    raltar
    -0.72
     Hunger
    -0.72
    IK
    -0.70
    abad
    -0.69
    uating
    -0.68
    POSITIVE LOGITS
    opsis
    0.97
    Ħ¢
    0.92
     stereo
    0.80
    asonic
    0.79
    ocular
    0.77
     headphone
    0.74
    ereo
    0.74
     mono
    0.72
     headset
    0.68
    naissance
    0.68
    Activations Density 0.010%

    No Known Activations