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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. 4-RES-JB
    11. 11248
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    Explanations

    words related to legal actions, such as "appeal" and "appealed"

    oai_token-act-pair · gpt-3.5-turbo

    words related to legal appeals

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

    No Comments

    Negative Logits
    kson
    -0.75
    fters
    -0.75
    âĹ¼
    -0.70
    ifa
    -0.70
    estial
    -0.70
    姫
    -0.70
    obyl
    -0.67
    apy
    -0.67
     Rocks
    -0.66
    mson
    -0.65
    POSITIVE LOGITS
     parole
    0.84
    ĸļ
    0.82
     appeal
    0.75
     plea
    0.75
     appeals
    0.75
     judicial
    0.75
     pend
    0.72
     extradition
    0.71
     rejection
    0.71
     petitions
    0.71
    Activations Density 0.012%

    No Known Activations