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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. 7-RES-JB
    6. 8045
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    Explanations

    proper names, specifically the name "Bill"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Bill."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -0.76
    pmwiki
    -0.75
     detain
    -0.71
     suscept
    -0.71
     lightsaber
    -0.67
     veter
    -0.66
     mitigation
    -0.66
     Rebels
    -0.66
     molten
    -0.65
     referen
    -0.64
    POSITIVE LOGITS
    iard
    1.24
     Maher
    1.14
     Cosby
    1.12
    ingham
    1.05
     Belichick
    1.00
    ions
    0.99
     Gates
    0.96
    iton
    0.92
     Clinton
    0.88
     Walsh
    0.85
    Activations Density 0.018%

    No Known Activations