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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. 14842
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    Explanations

    phrases indicating typical or usual occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate typical patterns or occurrences in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     possibly
    -0.71
     Kitty
    -0.66
    eday
    -0.64
     Bern
    -0.64
     Aj
    -0.62
    ALLY
    -0.61
     Kob
    -0.61
     yesterday
    -0.60
    ????????
    -0.60
     PLEASE
    -0.60
    POSITIVE LOGITS
    luster
    0.76
    ttes
    0.73
    natureconservancy
    0.73
    ctory
    0.72
    rored
    0.69
     Occupations
    0.68
    ypes
    0.67
    iflower
    0.66
    oots
    0.65
    escent
    0.64
    Activations Density 0.418%

    No Known Activations