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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. 2-RES-JB
    11. 11507
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    Explanations

    mentions and references to mainstream media

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atoon
    -0.72
    thur
    -0.70
    uana
    -0.63
    ursed
    -0.63
    sol
    -0.62
    otos
    -0.62
    tein
    -0.61
    vag
    -0.61
     Mate
    -0.60
    abet
    -0.59
    POSITIVE LOGITS
     mainstream
    0.97
     outlets
    0.79
     media
    0.78
    arily
    0.77
     outlet
    0.77
    itized
    0.75
     mainline
    0.74
     circulation
    0.70
    ablishment
    0.67
     overnight
    0.66
    Activations Density 0.011%

    No Known Activations