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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. 9-RES-JB
    11. 19779
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    Explanations

    phrases or parts of sentences that are emphasizing or highlighting a particular concept

    oai_token-act-pair · gpt-3.5-turbo

    clauses that express degrees of intensity or extremity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zman
    -0.81
    usk
    -0.70
     redes
    -0.68
    estones
    -0.67
    rolet
    -0.64
    0200
    -0.63
    wn
    -0.62
    osures
    -0.62
    sson
    -0.62
    MpServer
    -0.62
    POSITIVE LOGITS
     they
    0.91
     it
    0.90
     nobody
    0.82
     even
    0.80
     ordinarily
    0.77
     anyone
    0.73
     hardly
    0.70
     none
    0.68
     we
    0.68
     THEY
    0.68
    Activations Density 0.068%

    No Known Activations