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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. 9-RES-JB
    11. 23265
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    Explanations

    phrases related to accepting past events and moving forward

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the action of moving forward or progressing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    othy
    -0.72
    °
    -0.69
    antis
    -0.63
    ª
    -0.62
    OTS
    -0.62
    acters
    -0.62
    aughtered
    -0.60
    pots
    -0.60
    uchs
    -0.59
    NK
    -0.56
    POSITIVE LOGITS
    eday
    0.89
    stage
    0.87
     behalf
    0.84
     fumes
    0.79
    shore
    0.75
     unnoticed
    0.73
    screen
    0.73
     toget
    0.71
     stage
    0.71
     autop
    0.70
    Activations Density 0.062%

    No Known Activations