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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. 3991
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    INDEX
    Explanations

    mentions of artwork

    oai_token-act-pair · gpt-3.5-turbo

    references to artwork

    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
    lat
    -0.77
    etime
    -0.72
    gans
    -0.66
    light
    -0.66
    ishops
    -0.65
    few
    -0.65
    zee
    -0.64
    CE
    -0.64
    nit
    -0.63
    nel
    -0.63
    POSITIVE LOGITS
     artwork
    1.21
     depicting
    1.01
    heet
    0.92
     paintings
    0.90
     galleries
    0.89
    ifacts
    0.87
     gallery
    0.87
    emis
    0.85
     IMAGES
    0.79
     depicts
    0.79
    Activations Density 0.017%

    No Known Activations