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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. 4856
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    Explanations

    phrases related to utilizing or applying skills or knowledge

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the application or utilization of skills and abilities

    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
     Detected
    -0.65
    OUS
    -0.64
    interstitial
    -0.63
    oslov
    -0.62
     Born
    -0.60
    scl
    -0.59
    eous
    -0.59
     Emerging
    -0.57
     Franch
    -0.57
    ector
    -0.56
    POSITIVE LOGITS
     pasture
    1.02
     bed
    0.95
     rest
    0.91
     shame
    0.86
     use
    0.80
     rout
    0.79
     sleep
    0.77
     work
    0.70
    asted
    0.69
     waste
    0.67
    Activations Density 0.065%

    No Known Activations