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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. 1-RES-JB
    6. 4310
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    Explanations

    references to detaining individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detention and incarceration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avascript
    -0.66
    GD
    -0.66
    itton
    -0.64
    hift
    -0.63
    abba
    -0.61
    amsung
    -0.61
     antioxid
    -0.59
    Downloadha
    -0.59
    IDENT
    -0.59
     crane
    -0.58
    POSITIVE LOGITS
    ments
    1.78
    ment
    1.77
    mentation
    1.30
    mented
    1.25
    MENTS
    1.21
    mental
    1.17
    MENT
    1.05
    ings
    1.02
    ances
    0.98
    cies
    0.97
    Activations Density 0.046%

    No Known Activations