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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. 8320
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    Explanations

    phrases or words related to legal or procedural matters

    oai_token-act-pair · gpt-3.5-turbo

    references to pre-trial contexts or processes

    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
    IBLE
    -0.62
     realism
    -0.62
     similarities
    -0.59
     Cup
    -0.57
    Ø©
    -0.57
     laughter
    -0.56
     Shack
    -0.56
     sidelines
    -0.56
     Ace
    -0.56
     Ago
    -0.55
    POSITIVE LOGITS
    requisites
    1.45
    fecture
    1.37
    lude
    1.36
    occup
    1.33
    occupied
    1.24
    achers
    1.23
    cludes
    1.22
    ceed
    1.20
    hens
    1.18
    clinical
    1.17
    Activations Density 0.019%

    No Known Activations