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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. 7393
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    Explanations

    concepts related to physical health and medical conditions, particularly focused on dehydration and body damage

    oai_token-act-pair · gpt-3.5-turbo

    empty or non-existent segments in the text

    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
    ebook
    -0.61
    ONSORED
    -0.60
     Jagu
    -0.58
     Hath
    -0.54
    Jar
    -0.54
     Frie
    -0.53
    Soon
    -0.52
    2020
    -0.51
    ween
    -0.51
     Hutch
    -0.51
    POSITIVE LOGITS
     commonly
    0.75
     abbrevi
    0.70
    pmwiki
    0.68
    aceae
    0.68
    requently
    0.66
     Types
    0.65
    ophys
    0.64
    igmatic
    0.64
     misconception
    0.64
     Definition
    0.63
    Activations Density 1.023%

    No Known Activations