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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. 8-RES-JB
    11. 11631
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    Explanations

    keywords related to actions and instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to planning and evaluating actions

    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
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    Negative Logits
    ixties
    -0.70
    anchester
    -0.68
     McCann
    -0.59
    culosis
    -0.59
    quartered
    -0.57
     McDonnell
    -0.57
    atism
    -0.56
    endon
    -0.56
     Rousse
    -0.55
    chnology
    -0.54
    POSITIVE LOGITS
     accordingly
    1.22
     afterwards
    0.84
     thereafter
    0.80
     yours
    0.76
     afterward
    0.74
     etc
    0.74
     :)
    0.73
     adv
    0.73
     ;)
    0.73
     feedback
    0.73
    Activations Density 1.334%

    No Known Activations