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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. 9-RES-JB
    11. 5685
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    Explanations

    action verbs related to combat, destruction, and defeat

    oai_token-act-pair · gpt-3.5-turbo

    action-oriented phrases related to combat and destruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    algia
    -0.72
     refunds
    -0.67
    ĸļ
    -0.64
    luster
    -0.64
    omical
    -0.64
     Volunte
    -0.64
     condol
    -0.63
     Prelude
    -0.63
     consulted
    -0.63
     condolences
    -0.62
    POSITIVE LOGITS
     enemy
    1.40
     enemies
    1.35
     foes
    1.26
     adversaries
    1.25
     adversary
    1.21
     opponents
    1.20
     opponent
    1.12
     foe
    1.10
    enemy
    1.08
     targets
    1.07
    Activations Density 0.376%

    No Known Activations