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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. 6-RES-JB
    6. 11161
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    Explanations

    mentions of political campaigns, especially related to the 2016 presidential election

    oai_token-act-pair · gpt-3.5-turbo

    references to election campaigns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cooldown
    -0.70
    Duration
    -0.62
    ECTION
    -0.60
    Filename
    -0.60
     duplicate
    -0.59
     typew
    -0.59
    Graphics
    -0.59
    edIn
    -0.59
    bp
    -0.59
    Label
    -0.58
    POSITIVE LOGITS
    owitz
    0.82
    untled
    0.80
    ilogy
    0.75
     season
    0.74
    ÃŃs
    0.73
     pledging
    0.71
    INTON
    0.70
     cycle
    0.70
     onward
    0.69
    -'
    0.68
    Activations Density 0.130%

    No Known Activations