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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. 3-RES-JB
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ŃĶ
    -0.64
    ļé
    -0.64
    Unique
    -0.57
    unin
    -0.54
    Pros
    -0.54
     Compet
    -0.53
    rique
    -0.53
    kson
    -0.53
     constitu
    -0.51
    burst
    -0.51
    POSITIVE LOGITS
    Enlarge
    0.60
     billboards
    0.55
    chwitz
    0.55
     shark
    0.54
    yrights
    0.53
     Copyright
    0.52
    bending
    0.51
     ICO
    0.50
     marijuana
    0.50
     hail
    0.50
    Activations Density 0.677%

    No Known Activations