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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. 6-RES-JB
    11. 9351
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    INDEX
    Explanations

    specific keywords used to emphasize importance or distinction within a sentence or text

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing notable or significant mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eways
    -0.76
    enary
    -0.71
    atures
    -0.69
     sorts
    -0.69
    inea
    -0.68
    ories
    -0.67
    ature
    -0.65
    udicrous
    -0.63
    reads
    -0.63
    ircraft
    -0.62
    POSITIVE LOGITS
     Micha
    0.72
    lez
    0.66
    asio
    0.64
     اÙĦ
    0.63
     Dani
    0.62
    APD
    0.62
     evidenced
    0.61
    ectomy
    0.61
     Adin
    0.61
     Cyrus
    0.61
    Activations Density 0.095%

    No Known Activations