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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. 17257
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    Explanations

    references to data formats or data manipulation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data and its manipulation in various formats

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ModLoader
    -0.97
     Palestin
    -0.70
     granite
    -0.69
    GBT
    -0.69
    lain
    -0.68
    nen
    -0.67
     Rudd
    -0.67
    IELD
    -0.65
    arak
    -0.63
     indictment
    -0.63
    POSITIVE LOGITS
    flow
    1.02
    iologist
    0.90
    iology
    0.90
    frame
    0.88
    Frames
    0.81
    istics
    0.80
    argo
    0.77
    blocks
    0.75
    encies
    0.75
    Center
    0.75
    Activations Density 0.037%

    No Known Activations