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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. 7-RES-JB
    11. 8735
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    Explanations

    phrases related to aftermaths, crises, and tragedies

    oai_token-act-pair · gpt-3.5-turbo

    references to tragic events and their aftermath

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OSH
    -0.81
    */(
    -0.77
    BILITIES
    -0.74
    ELY
    -0.73
    alties
    -0.72
     besides
    -0.68
    esse
    -0.67
    reau
    -0.66
    ATES
    -0.66
    OTAL
    -0.65
    POSITIVE LOGITS
     Snowden
    0.98
     Newtown
    0.88
     Charlottesville
    0.88
     assassination
    0.85
     Occupy
    0.83
     riots
    0.82
     uphe
    0.82
     debacle
    0.82
     massacre
    0.82
     Ferguson
    0.81
    Activations Density 0.518%

    No Known Activations