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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
    11. 16226
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "via" indicating sources or methods of transmission

    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
    arks
    -0.84
    naire
    -0.82
    isms
    -0.76
    thal
    -0.71
    stal
    -0.70
    hound
    -0.67
     Remain
    -0.65
    omen
    -0.64
    keeping
    -0.63
     Scor
    -0.63
    POSITIVE LOGITS
     Shutterstock
    0.99
     Via
    0.86
     REUTERS
    0.84
    hran
    0.83
     via
    0.83
     vide
    0.80
     Wikimedia
    0.80
     afar
    0.78
    creen
    0.77
     tradem
    0.76
    Activations Density 0.012%

    No Known Activations