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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
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    Explanations

    descriptions of physical characteristics and features of creatures

    oai_token-act-pair · gpt-3.5-turbo

    descriptors and characteristics of animals

    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
     Safe
    -0.94
     Destination
    -0.83
    nesday
    -0.81
    ontent
    -0.81
    Deal
    -0.80
     Oversight
    -0.79
     Hotel
    -0.76
     Intervention
    -0.75
     Priority
    -0.75
    soDeliveryDate
    -0.74
    POSITIVE LOGITS
     protr
    1.51
     elong
    1.33
     claws
    1.32
     dorsal
    1.17
     tentacles
    1.12
     glands
    1.11
     feathers
    1.10
     teeth
    1.09
     wrink
    1.09
     morphology
    1.07
    Activations Density 0.395%

    No Known Activations