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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. 6-RES-JB
    11. 8486
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    Explanations

    phrases related to events or actions happening at the same time

    oai_token-act-pair · gpt-3.5-turbo

    references to simultaneous events or actions occurring at the same time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LCS
    -0.71
     QUEST
    -0.70
     Issue
    -0.65
     Pact
    -0.60
    uctions
    -0.60
     Derby
    -0.59
     Trad
    -0.59
    avorite
    -0.58
    oubted
    -0.58
     Bir
    -0.58
    POSITIVE LOGITS
    aneously
    1.00
    frames
    0.81
    lot
    0.79
    boxes
    0.74
     frame
    0.71
    box
    0.70
    azaki
    0.68
    clock
    0.68
    drops
    0.65
    zone
    0.64
    Activations Density 0.077%

    No Known Activations