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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. 4-RES-JB
    6. 18287
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    INDEX
    Explanations

    references to acquiring or possessing knowledge

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of knowledge and understanding

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

    No Comments

    Negative Logits
    onies
    -0.67
    gm
    -0.64
    etheus
    -0.64
    coni
    -0.62
    issions
    -0.61
    interstitial
    -0.60
    psey
    -0.59
     abrupt
    -0.58
    addafi
    -0.58
    agraph
    -0.57
    POSITIVE LOGITS
    ledge
    1.19
    lege
    1.10
    fulness
    0.89
    fully
    0.87
    ¿½
    0.86
     knowledge
    0.82
    ably
    0.80
    ledged
    0.78
    reading
    0.78
    knowledge
    0.78
    Activations Density 0.019%

    No Known Activations