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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. 0-RES-JB
    11. 6127
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    Explanations

    mentions of government or political officials

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ~~
    -0.73
     Whilst
    -0.71
     eq
    -0.69
    ertation
    -0.68
    joy
    -0.68
    66666666
    -0.64
    writing
    -0.64
     ðŁij
    -0.64
    olon
    -0.64
    thora
    -0.63
    POSITIVE LOGITS
     officials
    3.36
     Officials
    2.64
    Officials
    2.42
     authorities
    2.07
     administrators
    1.93
     bureaucrats
    1.90
     executives
    1.80
     policymakers
    1.78
     lawmakers
    1.78
     representatives
    1.74
    Activations Density 0.034%

    No Known Activations