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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. 8987
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    Explanations

    phrases related to political events and public figures

    oai_token-act-pair · gpt-3.5-turbo

    references to political events and their implications

    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
     IPM
    -0.84
    lease
    -0.83
     Pinball
    -0.78
     ~/
    -0.75
     Delivery
    -0.71
    staking
    -0.71
     JPM
    -0.71
     Storage
    -0.70
     partName
    -0.68
     TTL
    -0.67
    POSITIVE LOGITS
     extremism
    0.97
     dictators
    0.97
     extremists
    0.96
     rhetoric
    0.94
     minorities
    0.93
     nations
    0.92
     terrorism
    0.91
     countries
    0.90
     extremist
    0.90
     terrorists
    0.89
    Activations Density 1.190%

    No Known Activations