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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. 15299
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    Explanations

    descriptions related to qualities or features of products or services

    oai_token-act-pair · gpt-3.5-turbo

    elements related to quality and service in a review context

    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
    onel
    -0.77
    inois
    -0.74
    dit
    -0.73
    eday
    -0.73
    rieved
    -0.71
    rypt
    -0.71
    atech
    -0.71
    identally
    -0.70
    untary
    -0.70
    ilet
    -0.70
    POSITIVE LOGITS
     inherent
    0.87
     quirks
    0.82
     impecc
    0.80
     fram
    0.79
     riddled
    0.79
     coupled
    0.77
     brist
    0.76
     mism
    0.75
     reminiscent
    0.74
     flaws
    0.73
    Activations Density 0.971%

    No Known Activations