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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. 8-RES-JB
    11. 10355
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    Explanations

    ordinal numbers

    oai_token-act-pair · gpt-3.5-turbo

    numbers related to rankings or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.78
     amen
    -0.71
     365
    -0.69
     IPM
    -0.68
     VO
    -0.66
     PARK
    -0.65
     compuls
    -0.64
     MAP
    -0.64
     Map
    -0.64
     extermin
    -0.63
    POSITIVE LOGITS
    th
    1.90
    rd
    1.61
    ths
    1.61
    nd
    1.43
    teenth
    1.33
    venth
    1.29
    st
    1.28
    TH
    1.27
    inth
    1.26
    eenth
    1.24
    Activations Density 0.071%

    No Known Activations