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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. 7-RES-JB
    11. 19123
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    Explanations

    phrases related to performing tasks or actions one at a time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sequential actions or processes occurring one at a time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    irie
    -0.68
    avorite
    -0.64
    ging
    -0.64
    iry
    -0.64
    mosp
    -0.64
     Sau
    -0.62
     Issues
    -0.61
    iants
    -0.60
    ged
    -0.59
    iffs
    -0.59
    POSITIVE LOGITS
    acci
    0.84
     istg
    0.83
    âĶĢâĶĢ
    0.74
     glance
    0.70
    uchin
    0.69
     consuming
    0.68
    stretched
    0.67
    .*
    0.67
    î
    0.65
    ãĢĤ
    0.64
    Activations Density 0.060%

    No Known Activations