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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. 1-RES-JB
    11. 8600
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    INDEX
    Explanations

    phrases indicating specific intentions or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tier
    -0.74
    upon
    -0.71
    rooms
    -0.71
    stood
    -0.68
    GS
    -0.67
    enegger
    -0.67
    Lago
    -0.66
    sen
    -0.64
    ross
    -0.64
    ded
    -0.64
    POSITIVE LOGITS
     intentions
    1.36
     intent
    0.94
     motives
    0.86
     motivations
    0.81
    peria
    0.81
     intending
    0.77
    terday
    0.73
    omething
    0.72
     innocence
    0.71
     intention
    0.71
    Activations Density 0.010%

    No Known Activations