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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. 4809
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to organizations and entities

    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
     brill
    -0.81
     Incredible
    -0.80
     Kardashian
    -0.78
    ï¸
    -0.74
    quickShipAvailable
    -0.70
     Horus
    -0.68
    borgh
    -0.67
     Sloven
    -0.67
    ãĥİ
    -0.67
     Kanye
    -0.66
    POSITIVE LOGITS
    CS
    1.24
    CA
    1.24
    WS
    1.20
    NP
    1.17
    SA
    1.16
    WP
    1.15
    CP
    1.15
    GC
    1.13
    SF
    1.11
    HS
    1.11
    Activations Density 0.236%

    No Known Activations