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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. 12-RES-JB
    11. 3671
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    INDEX
    Explanations

    specific materials and structures, especially related to construction and infrastructure

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to concrete and building materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ukong
    -0.71
    zynski
    -0.71
    Discover
    -0.68
    Gene
    -0.66
    ;;;;;;;;;;;;
    -0.66
     Magicka
    -0.65
    danger
    -0.65
    ģĸ
    -0.64
    yssey
    -0.64
    stakes
    -0.63
    POSITIVE LOGITS
     floors
    1.29
     panels
    1.26
     pillars
    1.22
     blocks
    1.16
     roofs
    1.15
     columns
    1.15
     walls
    1.13
     beams
    1.11
     slab
    1.06
     barriers
    1.05
    Activations Density 0.142%

    No Known Activations