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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. 9-RES-JB
    11. 14006
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    Explanations

    phrases related to tasks or obligations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating obligation or actions that must be taken

    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
    è£ħ
    -0.72
    Asset
    -0.66
    etheless
    -0.65
    livious
    -0.65
    BuyableInstoreAndOnline
    -0.64
     Dahl
    -0.63
     enthusi
    -0.62
    HUD
    -0.62
     gulf
    -0.61
     reconcil
    -0.60
    POSITIVE LOGITS
     commandments
    0.68
     doing
    0.68
     commanded
    0.68
     normally
    0.66
    inus
    0.64
    liest
    0.63
    erc
    0.62
     instinctively
    0.62
     naturally
    0.62
     maxim
    0.61
    Activations Density 0.225%

    No Known Activations