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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. 9-RES-JB
    11. 9173
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    Explanations

    phrases indicating provision or supply of something

    oai_token-act-pair · gpt-3.5-turbo

    words related to providing or supplying information or support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pine
    -0.66
    intend
    -0.65
    doms
    -0.65
    bel
    -0.64
    turn
    -0.64
    cus
    -0.63
    blade
    -0.63
    roman
    -0.63
    luaj
    -0.62
    dirty
    -0.62
    POSITIVE LOGITS
     ample
    1.13
     insight
    1.11
     opportunities
    1.08
     invaluable
    1.04
     fodder
    1.01
     clues
    0.97
     unparalleled
    0.97
     insights
    0.96
     opportunity
    0.95
     impetus
    0.94
    Activations Density 0.114%

    No Known Activations