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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. 1-RES-JB
    11. 22778
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    Explanations

    terms related to quantifying or measuring levels of something

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of levels, particularly in environmental or health contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.79
    Else
    -0.70
     Phot
    -0.70
    rontal
    -0.69
    ILLE
    -0.69
    lez
    -0.69
     Fle
    -0.68
     Pose
    -0.68
     Andromeda
    -0.66
     Terra
    -0.66
    POSITIVE LOGITS
     levels
    1.19
    levels
    0.99
    afety
    0.92
     Levels
    0.90
    ixtape
    0.86
     concentrations
    0.85
     level
    0.85
    level
    0.84
    imilar
    0.79
    lycer
    0.77
    Activations Density 0.022%

    No Known Activations