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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. 6-RES-JB
    11. 15224
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    Explanations

    terms related to the basketball team "Heat"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Heat" sports team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUn
    -0.73
    ystem
    -0.71
     Mond
    -0.70
    VICE
    -0.69
    Gi
    -0.65
    arge
    -0.65
     Doct
    -0.64
    uments
    -0.64
     quo
    -0.63
    ablishment
    -0.63
    POSITIVE LOGITS
     Heat
    1.00
    seekers
    0.92
    hens
    0.91
    ricanes
    0.90
    waves
    0.85
    Heat
    0.83
     ILCS
    0.81
     Seasons
    0.80
    flies
    0.77
     Dolphins
    0.75
    Activations Density 0.010%

    No Known Activations