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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. 3-RES-JB
    11. 11431
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    Explanations

    references to cannons or similar artillery in a military context

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of cannons and their uses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.93
    Else
    -0.84
    ©¶æ
    -0.82
     Dietary
    -0.75
    mitted
    -0.73
    DragonMagazine
    -0.70
    20439
    -0.70
    Sense
    -0.70
     Redemption
    -0.67
    ele
    -0.66
    POSITIVE LOGITS
    balls
    1.18
     cannon
    1.13
    ball
    1.07
    lance
    1.05
     cannons
    1.04
     fodder
    0.98
    illon
    0.88
     bombard
    0.88
    illo
    0.84
    atform
    0.82
    Activations Density 0.010%

    No Known Activations