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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. 5642
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    Explanations

    question phrases starting with "What"

    oai_token-act-pair · gpt-3.5-turbo

    questions starting with "What."

    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
    uling
    -0.68
    trop
    -0.65
    uler
    -0.58
     rehabilit
    -0.55
     steril
    -0.54
     largeDownload
    -0.54
    ature
    -0.54
    xon
    -0.54
     Guidelines
    -0.53
     intermedi
    -0.52
    POSITIVE LOGITS
    soever
    1.21
     ensued
    0.92
     else
    0.89
     transpired
    0.89
     awaits
    0.87
     happ
    0.79
     happened
    0.78
     happens
    0.78
     separates
    0.76
     distinguishes
    0.72
    Activations Density 0.088%

    No Known Activations