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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. 2034
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    Explanations

    specific temporal information, such as references to frequency or duration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experiences and relationships with others

    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
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    No Comments

    Negative Logits
    anwhile
    -0.67
     omin
    -0.64
    adobe
    -0.62
     allegedly
    -0.62
     reapp
    -0.61
    atum
    -0.61
    efficiency
    -0.61
    ellar
    -0.59
    interstitial
    -0.59
     Canaver
    -0.59
    POSITIVE LOGITS
     myself
    1.00
    yrs
    0.96
     countless
    0.93
     my
    0.90
    âĿ
    0.80
     LONG
    0.76
     Flavoring
    0.75
    ÃĥÃĤ
    0.74
     experien
    0.74
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.74
    Activations Density 0.301%

    No Known Activations