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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. 10-RES-JB
    11. 1349
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    INDEX
    Explanations

    details related to measurements of physical spaces or buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to building sizes and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clips
    -0.90
    someone
    -0.84
    Reports
    -0.82
    words
    -0.80
    intent
    -0.76
    lance
    -0.76
    everyone
    -0.75
    olicited
    -0.75
    ealous
    -0.75
    flix
    -0.75
    POSITIVE LOGITS
     apartment
    1.42
     facility
    1.32
     warehouse
    1.32
     storefront
    1.29
     mansion
    1.27
     hotel
    1.22
     residential
    1.16
     clubhouse
    1.14
     restaurant
    1.14
     cafe
    1.13
    Activations Density 0.205%

    No Known Activations