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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 5382
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    Explanations

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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
    •Prediction Features Layer 8 GPT2 Small
    •For later
    Prediction feature

    No Comments

    Negative Logits
    nex
    -0.73
    rued
    -0.70
    tc
    -0.68
    iolet
    -0.68
    atom
    -0.68
    erb
    -0.67
    tec
    -0.67
     Nun
    -0.66
    cit
    -0.66
    ãĤ¹ãĥĪ
    -0.66
    POSITIVE LOGITS
     owning
    1.27
     producing
    1.24
     importing
    1.22
     generating
    1.22
     treating
    1.21
     putting
    1.21
     bringing
    1.20
     exercising
    1.20
     organising
    1.19
     creating
    1.19
    Activations Density 0.259%

    No Known Activations