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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. 9-RES-JB
    11. 24024
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    Explanations

    phrases related to locations of events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to events at specific locations, particularly incidents or scenes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.85
    ipedia
    -0.75
    iago
    -0.72
    OIL
    -0.68
    anson
    -0.67
    sylv
    -0.65
     Seym
    -0.64
    binding
    -0.64
    ANN
    -0.64
    BuyableInstoreAndOnline
    -0.63
    POSITIVE LOGITS
     scene
    0.83
     EMS
    0.82
     aftermath
    0.81
    EMS
    0.77
     area
    0.75
     precincts
    0.75
     where
    0.72
     unfold
    0.72
     unfolding
    0.72
    earchers
    0.70
    Activations Density 0.075%

    No Known Activations