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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. 11-RES-JB
    11. 13229
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    Explanations

    the phrase "get me X wrong," where X indicates reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize personal opinions and assertions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     up
    -0.53
    bay
    -0.52
     through
    -0.52
     along
    -0.49
     Goal
    -0.48
    OTUS
    -0.47
     Sponsor
    -0.46
     congratulations
    -0.46
     thanks
    -0.45
     Bus
    -0.45
    POSITIVE LOGITS
    aditional
    0.77
     exting
    0.74
    isSpecial
    0.72
     teasp
    0.72
    ActionCode
    0.70
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.68
    Ĝ
    0.67
    Ě
    0.67
    ę
    0.67
    Ĉ
    0.67
    Activations Density 0.641%

    No Known Activations