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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. 17716
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    Explanations

    places, locations, and settings

    oai_token-act-pair · gpt-3.5-turbo

    references to ideal conditions or environments

    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
    erity
    -0.63
    illon
    -0.62
     Constantin
    -0.60
    Version
    -0.60
    json
    -0.60
    cli
    -0.60
    lucent
    -0.59
    Ĥİ
    -0.59
    errors
    -0.58
     Tayyip
    -0.58
    POSITIVE LOGITS
     refuge
    1.28
     fodder
    1.19
     havens
    1.08
     inspiration
    1.06
     gateway
    1.03
     venue
    1.03
     fertile
    1.02
     breeding
    1.02
     source
    1.02
     avenue
    1.01
    Activations Density 1.143%

    No Known Activations