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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. 10408
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    Explanations

    references to mainstream media or its influence

    oai_token-act-pair · gpt-3.5-turbo

    references to mainstream media

    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
    cific
    -0.85
     Tome
    -0.75
    atoon
    -0.73
    uana
    -0.73
    otos
    -0.72
    alid
    -0.72
    arcity
    -0.72
    heng
    -0.70
    heed
    -0.68
    asant
    -0.67
    POSITIVE LOGITS
     media
    0.96
    ization
    0.93
     outlets
    0.91
    ing
    0.87
    isation
    0.82
     mainstream
    0.82
    ership
    0.82
    ed
    0.80
    iary
    0.77
    arily
    0.76
    Activations Density 0.038%

    No Known Activations