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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. 10-RES-JB
    11. 5054
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    Explanations

    references to specific entities or topics, such as "Gawker", "Snapchat", "Skype", "nuclear plant", "Solar industry", "Perl", "PV project", "flood", "Rams", "Sikh", "Metro", "GE executive", "Sikh

    oai_token-act-pair · gpt-3.5-turbo

    prominent topics and entities related to popular culture and current events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Merit
    -0.76
    20439
    -0.71
    âĵĺ
    -0.70
    lihood
    -0.69
    ickets
    -0.64
    Ô
    -0.62
    Thom
    -0.62
    rss
    -0.62
    oldemort
    -0.61
    .''.
    -0.60
    POSITIVE LOGITS
     renaissance
    0.68
     Improvement
    0.59
     biography
    0.58
     historian
    0.58
     wat
    0.57
     pride
    0.55
     casualty
    0.55
     lobby
    0.55
     Facts
    0.55
     surge
    0.53
    Activations Density 0.494%

    No Known Activations