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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. 974
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    Explanations

    references to firing or shooting incidents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fired" and its variations, indicating actions related to discharging weapons

    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
    Label
    -0.70
    Virgin
    -0.69
    DonaldTrump
    -0.68
    é¾įå
    -0.68
    é¾įå¥ij士
    -0.66
     Obesity
    -0.66
    este
    -0.65
     amen
    -0.65
     Proud
    -0.65
     Syd
    -0.64
    POSITIVE LOGITS
    balls
    0.93
    flies
    0.86
    fights
    0.86
     gunshots
    0.85
     volley
    0.84
    FIELD
    0.83
    bomb
    0.82
     firing
    0.81
     gunfire
    0.80
     artillery
    0.80
    Activations Density 0.027%

    No Known Activations