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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. 17822
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    Explanations

    words related to the concept of something happening or being realized

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "come" in various forms

    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
    icons
    -0.86
    skirts
    -0.80
    archives
    -0.73
    spect
    -0.71
    enture
    -0.71
    tg
    -0.70
    raid
    -0.68
    comed
    -0.68
    hedon
    -0.66
    nor
    -0.66
    POSITIVE LOGITS
     undone
    1.25
     crashing
    0.96
     forth
    0.94
     flooding
    0.91
     ashore
    0.80
     roaring
    0.80
     fruition
    0.80
     down
    0.78
     crumbling
    0.76
     together
    0.75
    Activations Density 0.079%

    No Known Activations