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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. 9-RES-JB
    11. 1685
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    Explanations

    the word "result" when it has a high presence in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to outcomes or results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.67
    NetMessage
    -0.66
    ospons
    -0.63
    pe
    -0.63
    afort
    -0.60
     redes
    -0.60
    hare
    -0.60
    imb
    -0.60
    rete
    -0.59
    erness
    -0.59
    POSITIVE LOGITS
    iveness
    0.97
    ivity
    0.91
     thereof
    0.88
    ively
    0.87
     result
    0.74
    ivism
    0.74
    aries
    0.73
    arian
    0.73
    ivist
    0.71
    antly
    0.69
    Activations Density 0.038%

    No Known Activations