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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. 10-RES-JB
    11. 16456
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    Explanations

    phrases related to visual perception and awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to the action of opening or closing something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hov
    -0.70
     constitu
    -0.64
    hani
    -0.61
    zos
    -0.60
    VICE
    -0.59
    rities
    -0.58
    eric
    -0.58
    _-
    -0.58
    OUS
    -0.57
     Zup
    -0.56
    POSITIVE LOGITS
     doors
    1.68
     door
    1.48
     gates
    1.28
     Pandora
    1.12
     Doors
    1.11
     Door
    1.10
     curtains
    1.10
    door
    1.08
     portals
    1.00
     window
    0.99
    Activations Density 0.116%

    No Known Activations