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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. 11-RES-JB
    11. 206
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    INDEX
    Explanations

    words related to importance, ranking, or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to priority levels and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atures
    -0.80
    Afee
    -0.74
    adoes
    -0.72
    hell
    -0.71
    aunder
    -0.70
    tiny
    -0.70
    worms
    -0.70
    inally
    -0.68
    fitting
    -0.67
     Caption
    -0.67
    POSITIVE LOGITS
     priority
    1.03
     priorit
    0.95
     duty
    0.94
     priorities
    0.94
     prioritize
    0.93
     allocation
    0.91
     task
    0.90
    priority
    0.88
     list
    0.87
     tasks
    0.84
    Activations Density 0.052%

    No Known Activations