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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. 4-RES-JB
    11. 17116
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    Explanations

    mentions of budget cuts in a governmental context

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

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

    No Comments

    Negative Logits
    NESS
    -0.79
    advertising
    -0.75
    Enter
    -0.70
    Shape
    -0.69
    Contents
    -0.69
    Arcade
    -0.68
     Jagu
    -0.65
    Init
    -0.65
    Things
    -0.65
    ATURES
    -0.64
    POSITIVE LOGITS
     knack
    1.13
     lot
    1.09
     chance
    1.07
     tendency
    0.99
     tremendous
    0.98
     foothold
    0.94
     glimpse
    0.93
     bunch
    0.93
     clue
    0.92
     huge
    0.91
    Activations Density 0.243%

    No Known Activations