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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. 8-RES-JB
    11. 11214
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    Explanations

    phrases related to combat, destruction, and defeating enemies

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with combat and aggressive actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     consulted
    -0.68
    Sync
    -0.67
    APH
    -0.66
    opens
    -0.64
     differe
    -0.63
    option
    -0.63
    inct
    -0.63
    }"
    -0.62
     nostalg
    -0.62
    ffe
    -0.62
    POSITIVE LOGITS
     enemy
    1.21
     enemies
    1.02
     bullies
    0.96
     adversary
    0.93
     foes
    0.93
     pesky
    0.92
     adversaries
    0.90
     foe
    0.88
     incoming
    0.86
     opponent
    0.86
    Activations Density 0.451%

    No Known Activations