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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17834
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    INDEX
    Explanations

    references to new technology or product releases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of new products or innovations

    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
    oche
    -0.79
    Zip
    -0.76
    ollah
    -0.74
    uddin
    -0.73
    aminer
    -0.72
    xual
    -0.72
    ashtra
    -0.71
    cientious
    -0.69
    osure
    -0.69
    ONSORED
    -0.69
    POSITIVE LOGITS
    bies
    1.26
    bie
    1.21
     additions
    1.04
     arrivals
    1.02
    foundland
    0.99
     entrants
    0.87
     developments
    0.84
     discoveries
    0.84
     Zealand
    0.83
     YORK
    0.81
    Activations Density 0.112%

    No Known Activations