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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. 18057
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    Explanations

    descriptions of materials and their properties

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to materials and their properties in a scientific context

    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
     celebrations
    -0.79
    Events
    -0.78
     visions
    -0.77
    Grand
    -0.76
     entertained
    -0.75
    inations
    -0.75
    RESULTS
    -0.73
     grandchildren
    -0.72
    Hours
    -0.70
     deficits
    -0.70
    POSITIVE LOGITS
     cloth
    1.37
     resin
    1.30
     nylon
    1.27
     adhesive
    1.27
     fabric
    1.25
     acrylic
    1.23
     PVC
    1.17
     foam
    1.16
    cloth
    1.15
     silicone
    1.14
    Activations Density 0.414%

    No Known Activations