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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. 10-RES-JB
    11. 23459
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    Explanations

    names or titles with initials and surnames

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the letter "R" in names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Connie
    -0.63
     cart
    -0.62
     regards
    -0.61
     removable
    -0.61
     retina
    -0.60
     Templar
    -0.60
     Buddha
    -0.60
     Communism
    -0.60
     Schumer
    -0.59
     low
    -0.59
    POSITIVE LOGITS
    itchie
    1.49
    ansom
    1.37
    otten
    1.33
    ector
    1.28
    ifles
    1.24
    ourke
    1.23
    abin
    1.22
    uling
    1.22
    outine
    1.22
    iggs
    1.21
    Activations Density 0.040%

    No Known Activations