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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. 7079
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    Explanations

    numbers or codes related to specific entities or events

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names, numbers, and titles related to events or entities

    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
    EStreamFrame
    -0.81
    EStream
    -0.74
     fixme
    -0.71
    rawdownloadcloneembedreportprint
    -0.68
    bleacher
    -0.68
    DragonMagazine
    -0.68
    tackle
    -0.67
    ufact
    -0.66
     guiActiveUnfocused
    -0.65
    docker
    -0.62
    POSITIVE LOGITS
     Citiz
    0.68
    ĩ
    0.66
    °
    0.62
     metic
    0.62
    ī
    0.61
     unden
    0.61
    aho
    0.61
    ½
    0.60
    ¹
    0.59
    ·
    0.58
    Activations Density 1.300%

    No Known Activations