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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. 3-RES-JB
    11. 16024
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to restrictions or limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resil
    -0.89
    edin
    -0.76
     scenes
    -0.70
    enes
    -0.69
    nis
    -0.67
    iazep
    -0.67
    ahime
    -0.67
    ovy
    -0.66
    aspers
    -0.66
    ovies
    -0.66
    POSITIVE LOGITS
     applicable
    0.81
    erous
    0.80
    Applic
    0.79
    rules
    0.76
     imposed
    0.73
     restricting
    0.73
     prohibiting
    0.72
    ascript
    0.72
     liability
    0.70
     enforced
    0.70
    Activations Density 0.545%

    No Known Activations