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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. 10-RES-JB
    11. 6999
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to containers and Docker technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    teenth
    -0.73
    oria
    -0.72
    manship
    -0.70
    bole
    -0.70
    ãĤ®
    -0.69
    tale
    -0.66
    olulu
    -0.65
     Bald
    -0.64
    IELD
    -0.64
     Eliot
    -0.64
    POSITIVE LOGITS
    ainers
    1.26
     containers
    1.23
     container
    1.17
     Container
    1.08
    arium
    1.03
    icum
    0.98
    ized
    0.98
     minimized
    0.91
    Container
    0.91
    ization
    0.87
    Activations Density 0.027%

    No Known Activations