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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. 4-RES-JB
    11. 11235
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    Explanations

    references to the mainstream media

    oai_token-act-pair · gpt-3.5-turbo

    references to "mainstream media" and its influence

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

    No Comments

    Negative Logits
    atoon
    -0.77
    ursed
    -0.74
    otos
    -0.73
    cific
    -0.72
    thur
    -0.71
    arcity
    -0.69
    alid
    -0.68
     Rings
    -0.67
    vag
    -0.66
    hots
    -0.65
    POSITIVE LOGITS
     mainstream
    0.90
     outlets
    0.80
     media
    0.77
    ization
    0.74
    ablishment
    0.73
    iary
    0.72
     establishment
    0.71
    arily
    0.70
     outlet
    0.69
     mainline
    0.69
    Activations Density 0.020%

    No Known Activations