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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. 7-RES-JB
    11. 24092
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    Explanations

    phrases related to energy transfer and conversions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to energy and resource management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.65
     Mehran
    -0.57
     broch
    -0.56
     acron
    -0.56
     advis
    -0.54
     Kore
    -0.52
     bloggers
    -0.52
     Brand
    -0.51
    razen
    -0.51
     sarcast
    -0.51
    POSITIVE LOGITS
     predetermined
    0.63
     equilibrium
    0.63
     finite
    0.63
     habitable
    0.58
     specified
    0.57
     velocity
    0.57
     substrate
    0.54
     efficiently
    0.54
     subsistence
    0.54
     shortest
    0.53
    Activations Density 0.890%

    No Known Activations