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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. 15380
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    Explanations

    mentions of benches

    oai_token-act-pair · gpt-3.5-turbo

    references to benches in various contexts, particularly in sports or legal settings

    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
    natureconservancy
    -0.79
    afort
    -0.69
    Bloomberg
    -0.66
     Engels
    -0.63
    myra
    -0.63
    llah
    -0.63
     Dragonbound
    -0.62
     ISBN
    -0.62
    REDACTED
    -0.62
    obyl
    -0.61
    POSITIVE LOGITS
     benches
    0.93
    warm
    0.89
     warrants
    0.85
     bench
    0.84
    lain
    0.82
    tops
    0.78
    stall
    0.78
    ing
    0.76
    ocks
    0.75
    chairs
    0.71
    Activations Density 0.015%

    No Known Activations