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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5771
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    Explanations

    references to military raids or attacks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "raid"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.77
     Bie
    -0.75
     Regina
    -0.71
     Mellon
    -0.69
     Genie
    -0.68
    DonaldTrump
    -0.68
     Rosenstein
    -0.67
     Holden
    -0.66
    éĸ
    -0.65
     Seb
    -0.65
    POSITIVE LOGITS
    ers
    0.89
    raid
    0.88
     raid
    0.83
    *=-
    0.82
    Raid
    0.79
    doms
    0.79
    iness
    0.78
    ishly
    0.78
    iversary
    0.73
     raiding
    0.73
    Activations Density 0.021%

    No Known Activations