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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. 3-RES-JB
    11. 22803
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    INDEX
    Explanations

    terms related to different levels within a data set or physical measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to various levels of substances or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILLE
    -0.81
    Untitled
    -0.77
    ãĤ©
    -0.68
    enegger
    -0.67
    ãĥį
    -0.67
     Twins
    -0.66
     Andromeda
    -0.66
     Fle
    -0.65
     Shroud
    -0.65
    lez
    -0.65
    POSITIVE LOGITS
     levels
    1.02
     concentrations
    0.90
    afety
    0.89
     detectable
    0.87
    etting
    0.83
    cape
    0.81
    hips
    0.79
    uits
    0.79
    cius
    0.78
    levels
    0.76
    Activations Density 0.023%

    No Known Activations