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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. 17830
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    references to chocolate

    oai_token-act-pair · gpt-3.5-turbo

    references to chocolate

    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
    atives
    -0.76
    WARD
    -0.75
    umbnail
    -0.71
    kus
    -0.69
    ership
    -0.69
    igate
    -0.69
    inen
    -0.68
     Imran
    -0.67
     Fargo
    -0.66
     plur
    -0.66
    POSITIVE LOGITS
     cake
    0.94
     pudding
    0.91
    anut
    0.90
     chocolate
    0.89
    âĺħâĺħ
    0.85
     coated
    0.82
     bean
    0.81
     chip
    0.80
    ocolate
    0.80
     cane
    0.80
    Activations Density 0.014%

    No Known Activations