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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. 1-RES-JB
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    Explanations

    names of places, particularly the name "Marin" and "Gillespie."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eus
    -0.97
    esome
    -0.86
    IFIED
    -0.85
    hran
    -0.83
    chens
    -0.83
    otaur
    -0.82
    ocrats
    -0.82
    ctor
    -0.80
    uses
    -0.78
    swick
    -0.78
    POSITIVE LOGITS
    conservancy
    0.86
     toler
    0.73
     Marin
    0.68
     yeast
    0.67
     diseng
    0.66
     notwithstanding
    0.66
     understatement
    0.65
     mosquit
    0.63
     prediction
    0.63
     Alonso
    0.63
    Activations Density 0.019%

    No Known Activations