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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. 13572
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    Explanations

    keywords related to battles, wars, and combat activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Battle 2"

    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
    ATURE
    -0.68
    ophile
    -0.68
    zzle
    -0.67
    eller
    -0.66
    oba
    -0.65
    ols
    -0.64
    ophone
    -0.62
    ure
    -0.61
    çīĪ
    -0.61
    egu
    -0.61
    POSITIVE LOGITS
    front
    1.16
     roy
    1.15
    cru
    1.07
    axe
    1.05
     Royale
    1.01
    cry
    1.00
    ments
    0.92
    fleet
    0.92
     raged
    0.88
    mage
    0.87
    Activations Density 0.045%

    No Known Activations