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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. 19418
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    Explanations

    proper nouns such as names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ultra" and names related to notable individuals

    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
    eries
    -0.90
    ress
    -0.83
    resses
    -0.75
    strap
    -0.71
    hire
    -0.69
    ered
    -0.67
     Dragonbound
    -0.67
    lege
    -0.66
    street
    -0.65
    deal
    -0.64
    POSITIVE LOGITS
    Downloadha
    0.77
    cling
    0.77
    culated
    0.77
     ultr
    0.74
    é¾įåĸļ士
    0.74
    senal
    0.69
     incumb
    0.69
    rible
    0.66
    ä½ľ
    0.64
     comr
    0.64
    Activations Density 0.031%

    No Known Activations