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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. 12-RES-JB
    11. 2640
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    Explanations

    phrases related to technical specifications and user opinions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    inquiries about opinions and feedback

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Rhodes
    -0.73
     enslaved
    -0.65
     Newark
    -0.63
     Chavez
    -0.62
     counterfe
    -0.60
     coerc
    -0.60
     Essex
    -0.59
     Pegasus
    -0.59
     ridiculed
    -0.58
     JFK
    -0.58
    POSITIVE LOGITS
    ÃĥÃĤ
    1.44
    âĢ
    1.28
    ãĥİ
    1.15
    ÃĥÃĤÃĥÃĤ
    1.13
    ÃĽ
    1.09
    Ó
    1.06
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    1.05
    ãĥ
    1.03
    Ý
    1.03
    Ô
    1.03
    Activations Density 0.437%

    No Known Activations