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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. 7-RES-JB
    11. 19400
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    Explanations

    phrases related to daily activities or routines

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases related to the concept of "day-to-day" activities or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Advertisement
    -0.69
    soDeliveryDate
    -0.58
    IDA
    -0.57
    advertisement
    -0.57
    pie
    -0.55
     AMA
    -0.54
    quickShipAvailable
    -0.54
    aila
    -0.53
     Melody
    -0.53
     Appl
    -0.52
    POSITIVE LOGITS
    ggles
    0.98
    ilers
    0.95
    iling
    0.85
     maturity
    0.85
    pless
    0.84
     capitalize
    0.83
     settle
    0.83
     educate
    0.82
     explore
    0.82
     determine
    0.81
    Activations Density 0.089%

    No Known Activations