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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. 3375
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    Explanations

    YouTube video links

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

    references to video content and links to video platforms

    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
     flap
    -0.64
     Kers
    -0.61
     Harding
    -0.60
     signs
    -0.59
     Seym
    -0.58
     hub
    -0.58
     Ging
    -0.57
     chang
    -0.57
     Yel
    -0.57
     latch
    -0.57
    POSITIVE LOGITS
    =
    1.84
    =-
    1.82
    =/
    1.49
    =$
    1.39
    =#
    1.38
    =[
    1.35
    =\"
    1.34
    =(
    1.32
    ={
    1.23
    ='
    1.21
    Activations Density 0.012%

    No Known Activations