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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. 9997
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    INDEX
    Explanations

    phrases related to information reliability

    oai_token-act-pair · gpt-3.5-turbo

    references to distorted or misleading information

    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
    zzo
    -0.84
    uyomi
    -0.82
    hetti
    -0.77
     guiActiveUnfocused
    -0.77
    soDeliveryDate
    -0.75
     Parad
    -0.73
    olitan
    -0.73
     Opera
    -0.69
     Vinyl
    -0.69
     CLSID
    -0.67
    POSITIVE LOGITS
    cles
    0.97
    ked
    0.88
    idium
    0.82
    acet
    0.80
    ilateral
    0.79
    respective
    0.78
    agi
    0.77
    respons
    0.76
    religious
    0.76
     ir
    0.76
    Activations Density 0.003%

    No Known Activations