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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. 4-RES-JB
    11. 9742
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    Explanations

    the word "concept" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to abstract ideas or concepts

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

    No Comments

    Negative Logits
    cffff
    -0.77
    GBT
    -0.65
     Silence
    -0.64
     Zimmer
    -0.62
     silence
    -0.61
    ificant
    -0.61
    ieri
    -0.60
    olla
    -0.60
    deen
    -0.59
    hiro
    -0.59
    POSITIVE LOGITS
    ually
    1.61
    ual
    1.01
    uality
    0.93
    matically
    0.91
     concept
    0.86
    ional
    0.83
     concepts
    0.83
     Concepts
    0.82
    rued
    0.81
    concept
    0.81
    Activations Density 0.014%

    No Known Activations