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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. 15198
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    Explanations

    phrases indicating uncertainty or variation in different circumstances

    oai_token-act-pair · gpt-3.5-turbo

    phrases that signify variability or uncertainty in situations

    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
    hesive
    -0.76
    âĢİ
    -0.74
    wcsstore
    -0.72
    abal
    -0.70
    anners
    -0.69
    APTER
    -0.68
    igers
    -0.68
    odore
    -0.68
    aceous
    -0.68
    ACTED
    -0.66
    POSITIVE LOGITS
     cases
    0.84
     respects
    0.80
     instances
    0.80
    ones
    0.80
     regions
    0.78
     quarters
    0.77
     workplaces
    0.75
     places
    0.75
     areas
    0.74
     corners
    0.74
    Activations Density 0.100%

    No Known Activations