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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4468
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    Explanations

    instances of the word "one" with varying degrees of certainty

    oai_token-act-pair · gpt-3.5-turbo

    references to obtaining or having a single item

    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
    grounds
    -0.69
     Vaugh
    -0.64
    aeda
    -0.64
    ories
    -0.59
    osponsors
    -0.58
    inity
    -0.58
     Ezek
    -0.57
    lov
    -0.56
     margins
    -0.56
    veyard
    -0.55
    POSITIVE LOGITS
     sided
    0.92
     hundred
    0.90
     Hundred
    0.86
     thousand
    0.82
    elf
    0.82
     of
    0.82
     dimensional
    0.79
    Shot
    0.76
     yourself
    0.75
     thereof
    0.74
    Activations Density 0.115%

    No Known Activations