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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
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    INDEX
    Explanations

    mentions of the word "importance"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "importance" in various contexts

    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
    cker
    -0.70
     Wonderland
    -0.69
    bleacher
    -0.69
     hairs
    -0.67
    aah
    -0.65
    abi
    -0.64
    Sus
    -0.63
    alking
    -0.63
    ilk
    -0.62
    ithe
    -0.62
    POSITIVE LOGITS
     importance
    1.08
     proble
    0.81
    notation
    0.80
     consideration
    0.76
     distinction
    0.75
    lessness
    0.75
     stake
    0.75
     impact
    0.75
    doms
    0.75
    orship
    0.73
    Activations Density 0.013%

    No Known Activations