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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. 4-RES-JB
    11. 9408
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    Explanations

    words related to geological or scientific contexts, particularly focusing on the mantle, observatories, political figures, and different types of forces or organizations

    oai_token-act-pair · gpt-3.5-turbo

    topics related to politics and governance

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

    No Comments

    Negative Logits
    Ô
    -0.65
    DragonMagazine
    -0.59
    rencies
    -0.58
    imon
    -0.58
    theless
    -0.57
    hemy
    -0.55
    henko
    -0.54
    sbm
    -0.54
     VIDEOS
    -0.53
     Helpful
    -0.52
    POSITIVE LOGITS
    iest
    0.88
    liest
    0.78
    osphere
    0.77
     era
    0.70
     electorate
    0.67
     portion
    0.65
     realm
    0.65
     aisle
    0.64
     arena
    0.64
     side
    0.63
    Activations Density 1.333%

    No Known Activations