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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. 24382
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    Explanations

    information related to important meetings or events, especially ones involving high-ranking officials or significant topics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of meetings or gatherings

    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
    ©¶æ¥µ
    -0.79
    ForgeModLoader
    -0.70
     inheritance
    -0.67
    qus
    -0.65
    âĵĺ
    -0.65
    ierrez
    -0.63
    ãĥĥãĥĪ
    -0.62
     arsen
    -0.62
    metics
    -0.61
    Entity
    -0.61
    POSITIVE LOGITS
     presentations
    0.98
     invitation
    0.96
     scheduled
    0.96
     invitations
    0.91
     attendees
    0.90
     sessions
    0.90
     chaired
    0.90
     organisers
    0.90
    noon
    0.90
     underway
    0.87
    Activations Density 0.715%

    No Known Activations