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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16950
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    Explanations

    objects that can be physically opened or closed, such as eyes, mouths, presents, doors, sessions, mind, and studio

    oai_token-act-pair · gpt-3.5-turbo

    references to bodily actions, particularly those involving opening and closing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utan
    -0.68
    rior
    -0.65
    ĺħ
    -0.63
    agher
    -0.62
    rities
    -0.60
    orum
    -0.60
     guiIcon
    -0.59
    verages
    -0.59
    Lenin
    -0.58
    inant
    -0.57
    POSITIVE LOGITS
     doors
    1.55
     door
    1.28
     gates
    1.15
     Doors
    1.07
     Pandora
    1.05
    door
    1.00
     valves
    1.00
    doors
    0.94
     Door
    0.94
     loopholes
    0.94
    Activations Density 0.154%

    No Known Activations