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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. 15212
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    Explanations

    proper nouns or specific names related to various locations, people, organizations, or events

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific references related to notable entities and events

    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
     glim
    -0.77
     lawy
    -0.69
     Milwaukee
    -0.65
     sanity
    -0.60
     Asheville
    -0.59
     Boone
    -0.59
     Hust
    -0.58
     newsp
    -0.57
     DUI
    -0.56
     OCD
    -0.56
    POSITIVE LOGITS
    alys
    0.75
    Pak
    0.72
     Programme
    0.72
    inational
    0.69
    bn
    0.68
    lihood
    0.68
    xit
    0.67
    ghai
    0.67
    leground
    0.66
    atri
    0.65
    Activations Density 0.950%

    No Known Activations