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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. 1480
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    Explanations

    mentions of fountains and water-related elements

    oai_token-act-pair · gpt-3.5-turbo

    references to fountains

    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
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    No Comments

    Negative Logits
     WATCHED
    -0.69
    Alien
    -0.66
     Ibid
    -0.64
    Ey
    -0.63
     Taken
    -0.63
    Leary
    -0.63
    edy
    -0.62
     Passenger
    -0.62
    VICE
    -0.62
    alien
    -0.61
    POSITIVE LOGITS
     fountain
    1.27
     pens
    0.97
     Fountain
    0.94
    sonian
    0.92
     pen
    0.90
    issance
    0.90
    conservancy
    0.81
    shire
    0.81
    aukee
    0.74
    ocity
    0.72
    Activations Density 0.013%

    No Known Activations