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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. 8-RES-JB
    11. 11581
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    Explanations

    specific words following the pattern "MORE (X)" where X represents a specific topic or entity being mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to political contexts and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     assum
    -0.81
     artif
    -0.78
     blat
    -0.77
    Lear
    -0.76
     ak
    -0.73
     appre
    -0.72
    Newsletter
    -0.69
    edIn
    -0.67
    Sov
    -0.65
     fict
    -0.65
    POSITIVE LOGITS
    isconsin
    0.80
     Republican
    0.76
     Republicans
    0.73
     congressional
    0.72
     Schumer
    0.72
    izza
    0.72
    hillary
    0.69
    ellen
    0.68
    olitics
    0.68
    amacare
    0.68
    Activations Density 0.079%

    No Known Activations