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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
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    Explanations

    the word "Republicans" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the political party Republicans

    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
     metre
    -0.71
    eon
    -0.70
     analyse
    -0.70
     realise
    -0.66
    aiden
    -0.66
     fulfil
    -0.65
    âĸĪ
    -0.65
     util
    -0.63
     wil
    -0.63
    yna
    -0.63
    POSITIVE LOGITS
     Republicans
    3.47
     Democrats
    2.94
    Republicans
    2.93
    Democrats
    2.64
     Republican
    2.40
     GOP
    2.26
    Republican
    2.25
     conservatives
    2.18
     Dems
    2.15
     Conservatives
    2.12
    Activations Density 0.020%

    No Known Activations