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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. 3-RES-JB
    11. 24075
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    Explanations

    references to news organization CNN

    oai_token-act-pair · gpt-3.5-turbo

    references to the CNN news network

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grass
    -0.75
    benefit
    -0.68
    scope
    -0.66
    class
    -0.66
    brow
    -0.66
    ¯
    -0.66
    lasses
    -0.65
    irts
    -0.64
    pe
    -0.63
    phies
    -0.63
    POSITIVE LOGITS
    CBC
    1.08
    CNN
    0.77
    romeda
    0.75
    Leaks
    0.75
     Reporter
    0.73
    IRO
    0.71
    NEWS
    0.71
    assetsadobe
    0.70
    icularly
    0.70
    UTERS
    0.70
    Activations Density 0.012%

    No Known Activations