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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. 16943
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    Explanations

    words related to physical actions involving pressure or compression

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concepts of sampling and collecting data

    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
    aq
    -0.69
     Administ
    -0.67
     Extreme
    -0.63
     drugs
    -0.63
    AUT
    -0.60
     derby
    -0.60
     helmets
    -0.58
     exchange
    -0.57
     responsible
    -0.57
     Dex
    -0.56
    POSITIVE LOGITS
    pling
    4.75
    pled
    4.09
    plings
    3.05
    pler
    2.80
    ples
    2.80
    ple
    1.72
    plin
    1.60
    ply
    1.50
    PLE
    1.31
    pl
    1.26
    Activations Density 0.015%

    No Known Activations