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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. 12526
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    Explanations

    instances of quantities, measurements, and amounts

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "of" in various contexts, indicating measurements or quantities

    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
    ĸļ
    -0.81
    ulhu
    -0.78
    few
    -0.77
     Cosponsors
    -0.72
    ablishment
    -0.72
    months
    -0.72
    rh
    -0.71
    days
    -0.71
    cffffcc
    -0.69
     Seconds
    -0.69
    POSITIVE LOGITS
     material
    0.89
     goods
    0.80
     cargo
    0.78
     cloth
    0.74
     valuable
    0.73
     extra
    0.72
     equipment
    0.72
     accumulated
    0.70
     cumulative
    0.70
     misinformation
    0.70
    Activations Density 0.086%

    No Known Activations