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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. 736
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    INDEX
    Explanations

    words related to actions and activities

    oai_token-act-pair · gpt-3.5-turbo

    various forms of social interactions and transactions

    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
    Registered
    -0.68
    asus
    -0.66
     skelet
    -0.60
    Connector
    -0.58
     Refuge
    -0.58
    ishly
    -0.57
     founding
    -0.56
    scape
    -0.56
     reservoir
    -0.56
     bikini
    -0.55
    POSITIVE LOGITS
    creen
    1.43
    paces
    1.32
    hips
    1.25
    peed
    1.19
    heet
    1.17
    pring
    1.17
    ettings
    1.14
    ync
    1.13
    hots
    1.12
    hift
    1.11
    Activations Density 0.560%

    No Known Activations