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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. 9-RES-JB
    11. 1521
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    Explanations

    words related to negative actions, mistakes, or misunderstandings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mistakes or misunderstandings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     uphill
    -0.64
    ilon
    -0.63
    Lago
    -0.63
     anecd
    -0.61
    instein
    -0.61
    raltar
    -0.61
     NCT
    -0.59
     stakes
    -0.59
    minster
    -0.58
    Ther
    -0.58
    POSITIVE LOGITS
    vous
    1.08
    rued
    0.91
    ceptions
    0.80
    gment
    0.78
    ements
    0.78
    ceived
    0.78
    akable
    0.76
    imate
    0.76
    oot
    0.75
    eeds
    0.73
    Activations Density 0.061%

    No Known Activations