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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. 5-RES-JB
    6. 11365
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    Explanations

    phrases related to possession or ownership

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate legal or formal language, particularly regarding ownership and obligations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paren
    -0.74
    cho
    -0.69
    ku
    -0.60
    zers
    -0.60
    asio
    -0.60
    rm
    -0.59
    ducers
    -0.59
    mber
    -0.59
     Michel
    -0.59
    UE
    -0.59
    POSITIVE LOGITS
    atsu
    0.83
    hower
    0.82
    selves
    0.81
    rack
    0.79
    é¾įåĸļ士
    0.76
     therein
    0.75
    00200000
    0.71
    orld
    0.71
    soever
    0.71
    ufact
    0.71
    Activations Density 0.078%

    No Known Activations