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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. 17356
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    Explanations

    phrases related to increasing or intensifying actions or efforts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of increasing intensity or effort

    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
    »Ĵ
    -0.80
     Gleaming
    -0.75
    thing
    -0.69
    aired
    -0.68
    oret
    -0.68
    oran
    -0.68
    phe
    -0.65
    emed
    -0.64
    puted
    -0.63
    aturated
    -0.63
    POSITIVE LOGITS
     patrols
    1.30
     efforts
    1.27
     pressure
    1.11
     vigilance
    1.06
     scrutiny
    1.05
     preparations
    1.04
     outreach
    0.99
     repression
    0.98
     inspections
    0.97
     hostilities
    0.96
    Activations Density 0.153%

    No Known Activations