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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. 23418
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    INDEX
    Explanations

    statements indicating requirements or obligations

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs and phrases indicating obligations or requirements

    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
    iosyncr
    -0.82
    itiveness
    -0.79
    inventoryQuantity
    -0.78
    ozy
    -0.72
    lag
    -0.69
     resonate
    -0.68
     crumble
    -0.67
    osate
    -0.67
    ipeg
    -0.66
     resurgence
    -0.66
    POSITIVE LOGITS
     obliged
    1.56
     obligated
    1.53
     able
    1.38
     instructed
    1.36
     encouraged
    1.36
     permitted
    1.33
     entitled
    1.32
     allowed
    1.27
     advised
    1.26
     required
    1.24
    Activations Density 0.270%

    No Known Activations