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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. 11-RES-JB
    11. 2547
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    Explanations

    phrases related to action or process of bringing something to life or to a specific state

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the act of bringing something to life or making it accessible

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    vich
    -0.75
    lied
    -0.69
     facult
    -0.68
    lly
    -0.68
     WATCHED
    -0.66
    wine
    -0.64
    uates
    -0.64
    etts
    -0.64
    ister
    -0.63
    ollen
    -0.63
    POSITIVE LOGITS
     fruition
    1.40
     heel
    1.17
     bear
    1.15
     life
    1.06
     prominence
    0.94
    life
    0.81
     light
    0.80
     grips
    0.80
     maturity
    0.79
     market
    0.78
    Activations Density 0.074%

    No Known Activations