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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "York" in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    mentions of New York and its associated locations

    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
     Constantin
    -0.74
     Sear
    -0.70
    bearing
    -0.68
    ãĤ¦
    -0.66
    ãĤ¯
    -0.62
    compan
    -0.62
    ãĤ«
    -0.60
     Bers
    -0.57
    depend
    -0.56
     repressive
    -0.56
    POSITIVE LOGITS
     YORK
    1.05
     CITY
    1.05
    INESS
    0.99
    VEL
    0.93
     STATE
    0.91
    MAN
    0.90
     TIM
    0.90
    FORE
    0.86
    WAY
    0.85
    nesday
    0.84
    Activations Density 0.011%

    No Known Activations