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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. 3-RES-JB
    6. 21376
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    INDEX
    Explanations

    names and terms related to individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those with the name "Kaw"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Establishment
    -0.69
    xual
    -0.69
    eering
    -0.68
    llor
    -0.65
     Scotia
    -0.63
     psy
    -0.62
     purge
    -0.62
    balance
    -0.61
    istically
    -0.61
     Murdoch
    -0.60
    POSITIVE LOGITS
    asaki
    1.30
     Kaw
    1.18
    aii
    1.15
    amoto
    1.04
    ata
    0.93
    arij
    0.92
    oji
    0.92
    ©¶æ¥µ
    0.92
    atsu
    0.90
    ota
    0.87
    Activations Density 0.008%

    No Known Activations