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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. 7-RES-JB
    11. 14735
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    Explanations

    verbs that refer to a person's action or involvement

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LINE
    -0.76
     WiFi
    -0.72
    Stew
    -0.68
    assetsadobe
    -0.65
    ãĤ§
    -0.65
     CODE
    -0.64
    ————————
    -0.64
    597
    -0.63
    wcs
    -0.63
    598
    -0.62
    POSITIVE LOGITS
    atar
    1.14
    æ
    1.01
    aid
    1.00
    á
    0.98
    amate
    0.98
    abis
    0.97
    af
    0.95
    asio
    0.95
    ac
    0.95
    aber
    0.94
    Activations Density 0.355%

    No Known Activations