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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. 5063
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    Explanations

    names of individual people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
    ebin
    -0.76
     Pastebin
    -0.76
     captcha
    -0.74
     hasht
    -0.74
     trending
    -0.72
     Snapchat
    -0.72
     premium
    -0.71
     TBD
    -0.70
     emoji
    -0.69
     NFC
    -0.68
    POSITIVE LOGITS
     remembers
    0.99
    velt
    0.82
     Eisenhower
    0.81
     Kubrick
    0.80
     Turner
    0.79
     died
    0.79
     Howe
    0.79
     Nichols
    0.78
     Wilhelm
    0.78
    kefeller
    0.78
    Activations Density 0.398%

    No Known Activations