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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. 17348
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    Explanations

    proper names, specifically focusing on names of places and people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or entities

    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
    lda
    -0.84
    ============
    -0.80
    HER
    -0.78
    OF
    -0.75
    glers
    -0.75
    ========
    -0.75
    HL
    -0.73
    BLIC
    -0.72
    ãĤ´ãĥ³
    -0.71
    selage
    -0.71
    POSITIVE LOGITS
    shire
    0.94
    axter
    0.82
    ellen
    0.80
     Kut
    0.78
    enton
    0.77
    icum
    0.77
    skill
    0.76
    s
    0.76
    roach
    0.76
    owed
    0.74
    Activations Density 0.027%

    No Known Activations