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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. 2674
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    Explanations

    phrases related to explosive devices or bomb-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to bombs or explosive devices

    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
    laus
    -0.90
    SEA
    -0.80
     Vale
    -0.71
     Legends
    -0.70
     Dise
    -0.68
    Past
    -0.66
    éĸ
    -0.66
    Sea
    -0.64
    nee
    -0.64
     Absent
    -0.64
    POSITIVE LOGITS
    arding
    1.23
    arded
    1.16
     detonated
    1.02
     deton
    0.93
     bomb
    0.89
    astic
    0.86
    proof
    0.85
     disposal
    0.85
    astically
    0.85
     explodes
    0.85
    Activations Density 0.018%

    No Known Activations