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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. 9-RES-JB
    11. 20221
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    Explanations

    phrases indicating progress or advancement towards a positive outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or advancement in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olls
    -0.68
     quirks
    -0.67
    variable
    -0.65
    ants
    -0.63
    lance
    -0.62
     Nights
    -0.61
    heat
    -0.61
    ovies
    -0.60
    ixture
    -0.60
    features
    -0.60
    POSITIVE LOGITS
     overcoming
    0.91
     advancement
    0.89
     steps
    0.88
     realization
    0.87
     rebuilding
    0.85
     reconciliation
    0.85
     achieving
    0.83
     resolving
    0.83
     toward
    0.83
     progression
    0.82
    Activations Density 0.194%

    No Known Activations