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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. 6-RES-JB
    11. 15281
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    Explanations

    verbs related to work or tasks that need to be done

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "work" and its completion in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dot
    -0.74
    threat
    -0.74
    士
    -0.70
    vati
    -0.66
    majority
    -0.65
    warn
    -0.65
    ptoms
    -0.65
     Drops
    -0.64
    anish
    -0.64
    onen
    -0.64
    POSITIVE LOGITS
     diligence
    0.85
     scholarly
    0.78
     miracles
    0.78
     expended
    0.76
     briefs
    0.76
    issance
    0.76
     groundwork
    0.72
    DVD
    0.72
     undertaken
    0.71
     scholarship
    0.70
    Activations Density 0.378%

    No Known Activations