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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. 3-RES-JB
    11. 15683
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    Explanations

    phrases related to popularity, high demand, or intense activity

    oai_token-act-pair · gpt-3.5-turbo

    superlative terms related to temperature or popularity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lean
    -0.79
    ffic
    -0.75
    adra
    -0.74
    kay
    -0.72
    abol
    -0.71
    aus
    -0.69
    ulton
    -0.68
    roman
    -0.68
    orde
    -0.68
    rompt
    -0.65
    POSITIVE LOGITS
     hottest
    1.03
     hotter
    0.90
     temperatures
    0.75
    ottest
    0.75
     hots
    0.73
     unsolved
    0.72
     brightest
    0.69
    Temperature
    0.69
     bang
    0.69
     ILCS
    0.69
    Activations Density 0.008%

    No Known Activations