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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. 0-RES-JB
    11. 16611
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    Explanations

    phrases related to liquid droplets or actions involving liquid

    oai_token-act-pair · gpt-3.5-turbo

    words related to droplets or small quantities of liquid

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashtra
    -0.67
    shire
    -0.66
    abiding
    -0.65
    avascript
    -0.65
    Ĥª
    -0.65
     Harbour
    -0.63
    ADA
    -0.63
    Marsh
    -0.62
    walking
    -0.62
    awa
    -0.62
    POSITIVE LOGITS
    plet
    3.35
    olation
    2.51
    plets
    2.01
    olated
    1.78
    oled
    1.50
    olate
    1.47
    oling
    1.42
    ople
    1.13
    oler
    1.05
    analysis
    0.97
    Activations Density 0.035%

    No Known Activations