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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. 1747
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    Explanations

    keywords related to new information, discoveries, and disclosures

    oai_token-act-pair · gpt-3.5-turbo

    references to disclosures and discoveries

    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
     Nadu
    -0.77
    overe
    -0.73
    uate
    -0.71
    opt
    -0.66
    annis
    -0.60
    iery
    -0.59
    awar
    -0.59
     vaccination
    -0.59
    inately
    -0.58
    iott
    -0.57
    POSITIVE LOGITS
    ary
    0.91
     made
    0.82
     of
    0.76
     thereof
    0.74
    aire
    0.74
    ariat
    0.73
    aries
    0.73
    eering
    0.72
     process
    0.72
    aires
    0.70
    Activations Density 0.270%

    No Known Activations