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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9811
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    Explanations

    references to political nominations

    oai_token-act-pair · gpt-3.5-turbo

    references to political nominations and the nomination process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ijk
    -0.76
    depend
    -0.75
    rescent
    -0.64
    SourceFile
    -0.63
     helic
    -0.63
    ÃŁ
    -0.63
    Spawn
    -0.62
     Bulg
    -0.62
    Ku
    -0.61
    owners
    -0.60
    POSITIVE LOGITS
     nominees
    1.00
     nomination
    0.94
     nominee
    0.92
     nominating
    0.88
     nominations
    0.85
     nominated
    0.85
     hearings
    0.81
     nominate
    0.81
     ballot
    0.78
     ballots
    0.78
    Activations Density 0.049%

    No Known Activations