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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. 8-RES-JB
    11. 17145
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    Explanations

    technical terms and jargon used in various fields

    oai_token-act-pair · gpt-3.5-turbo

    various types of approaches or methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.72
    ãģĹ
    -0.71
     Bullets
    -0.71
    姫
    -0.70
    apeake
    -0.70
    abella
    -0.68
    azines
    -0.68
    士
    -0.65
    ousands
    -0.63
    osponsors
    -0.63
    POSITIVE LOGITS
     akin
    1.10
     whereby
    1.04
     reminiscent
    1.00
     consisting
    0.91
     wherein
    0.90
     whereas
    0.83
     contrasted
    0.83
     characterized
    0.80
     emphasizing
    0.80
     devoid
    0.79
    Activations Density 0.305%

    No Known Activations