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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. 6-RES-JB
    6. 5834
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    Explanations

    phrases related to the act of firing a weapon or gunshot

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to gunfire or shooting actions

    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
    Label
    -0.74
     amen
    -0.73
    Redditor
    -0.70
    este
    -0.68
    Virgin
    -0.68
    ental
    -0.66
    DonaldTrump
    -0.66
     Obesity
    -0.66
    xus
    -0.65
     Arbor
    -0.63
    POSITIVE LOGITS
    balls
    0.94
    bomb
    0.90
    lessly
    0.89
     gunshots
    0.87
     bullets
    0.86
     arcs
    0.84
     arrows
    0.82
     projectiles
    0.81
     firing
    0.81
     cannons
    0.79
    Activations Density 0.026%

    No Known Activations