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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. 18238
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    Explanations

    references to the act of drinking coffee in the morning

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to morning routines and coffee consumption

    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
    amount
    -0.72
    Trend
    -0.70
    ANC
    -0.68
    ItemImage
    -0.67
    ETHOD
    -0.65
    FORE
    -0.64
    shown
    -0.64
    Enhanced
    -0.62
    Information
    -0.61
    ubi
    -0.61
    POSITIVE LOGITS
     anymore
    1.10
     ;)
    0.89
     tomorrow
    0.88
     fries
    0.85
     screaming
    0.84
     blasting
    0.82
     ðŁĻĤ
    0.81
     someday
    0.81
    #$
    0.80
     :-)
    0.79
    Activations Density 0.848%

    No Known Activations