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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. 6-RES-JB
    11. 20354
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    Explanations

    phrases related to a mixture or combination of different elements

    oai_token-act-pair · gpt-3.5-turbo

    references to various combinations or mixtures of elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.77
    £
    -0.70
     reper
    -0.68
    cknow
    -0.68
     Passage
    -0.67
     Annotations
    -0.66
    Attempts
    -0.66
    ITED
    -0.65
    ury
    -0.65
     livest
    -0.65
    POSITIVE LOGITS
    mix
    0.97
    xual
    0.86
     mixes
    0.82
     mix
    0.82
    Mix
    0.79
    opl
    0.79
    lr
    0.75
    ener
    0.73
     mixture
    0.72
    ologist
    0.71
    Activations Density 0.022%

    No Known Activations