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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. 1-RES-JB
    11. 6557
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    Explanations

    references to artillery or weapons, specifically cannons

    oai_token-act-pair · gpt-3.5-turbo

    references to cannons and cannon-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.93
    Else
    -0.77
    ©¶æ
    -0.76
    mone
    -0.74
     Amendments
    -0.67
     Thai
    -0.67
    Sense
    -0.67
    shire
    -0.66
     Dietary
    -0.65
    çīĪ
    -0.63
    POSITIVE LOGITS
     cannon
    1.12
    balls
    1.08
     cannons
    1.00
    lance
    0.99
     fodder
    0.93
    ball
    0.92
     projectiles
    0.87
     Cannon
    0.86
     bombard
    0.85
     projectile
    0.85
    Activations Density 0.013%

    No Known Activations