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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. 0-RES-JB
    6. 8767
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    Explanations

    names or terms associated with legal cases or political figures

    oai_token-act-pair · gpt-3.5-turbo

    the term "bar" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NF
    -0.68
     seeded
    -0.66
    ispers
    -0.65
     Participant
    -0.64
     Ghostbusters
    -0.63
     elig
    -0.63
     transcripts
    -0.62
    ITNESS
    -0.61
    LECT
    -0.61
     genuine
    -0.61
    POSITIVE LOGITS
    bar
    4.41
    bars
    3.15
    Bar
    2.10
     bar
    1.90
     Bar
    1.66
     Bars
    1.52
     bars
    1.48
    bart
    1.43
    beer
    1.38
     BAR
    1.33
    Activations Density 0.009%

    No Known Activations