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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. 7870
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    Explanations

    names of locations, possibly related to conflicts or events happening in those places

    oai_token-act-pair · gpt-3.5-turbo

    various abbreviations and names likely related to entities or organizations

    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
    conserv
    -0.67
    OTAL
    -0.63
     Gors
    -0.63
     GENERAL
    -0.62
    olitics
    -0.60
     THESE
    -0.59
    ONEY
    -0.58
    RAW
    -0.58
    GGGGGGGG
    -0.58
    erella
    -0.57
    POSITIVE LOGITS
     hybrids
    0.74
     alike
    0.73
    heid
    0.72
    acist
    0.71
    naire
    0.66
    aign
    0.64
     hybrid
    0.64
    wagen
    0.64
    enced
    0.63
    mingham
    0.61
    Activations Density 0.361%

    No Known Activations