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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. 7-RES-JB
    11. 12503
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    INDEX
    Explanations

    locations or venues where events occur

    oai_token-act-pair · gpt-3.5-turbo

    locations and contexts related to events or gatherings

    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
    utan
    -0.72
    employment
    -0.69
    alys
    -0.69
    tools
    -0.68
    sheets
    -0.68
    munition
    -0.68
    phabet
    -0.66
    ortium
    -0.65
    heet
    -0.65
    iframe
    -0.64
    POSITIVE LOGITS
     Marriott
    1.00
     Pavilion
    0.91
     Arlington
    0.91
     Augusta
    0.89
    rium
    0.89
     Reno
    0.89
     Hof
    0.88
     Louisville
    0.88
     Hilton
    0.87
     RTX
    0.87
    Activations Density 0.159%

    No Known Activations