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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. 21798
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    Explanations

    significant events or milestones

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "marked" in various contexts

    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
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    No Comments

    Negative Logits
    imation
    -0.66
    æ©Ł
    -0.66
    urus
    -0.65
    rouse
    -0.65
    ettel
    -0.63
     appre
    -0.62
     dstg
    -0.61
     crust
    -0.61
    女
    -0.60
    ortex
    -0.59
    POSITIVE LOGITS
    manship
    0.93
     milestones
    0.85
    furt
    0.82
     Twain
    0.80
    eting
    0.79
    posts
    0.78
     marking
    0.77
    down
    0.76
    downs
    0.76
    dress
    0.74
    Activations Density 0.022%

    No Known Activations