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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. 3-RES-JB
    11. 5193
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    INDEX
    Explanations

    phrases or sentences discussing outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causality or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undai
    -0.74
     tradem
    -0.71
    cot
    -0.68
    pload
    -0.65
     periphery
    -0.65
     capitals
    -0.65
     bolted
    -0.64
     actionGroup
    -0.64
     Passage
    -0.62
     spaced
    -0.62
    POSITIVE LOGITS
    iments
    0.87
    ivity
    0.84
     result
    0.82
    iment
    0.82
    result
    0.79
    iveness
    0.77
    bringer
    0.76
    enance
    0.76
    ively
    0.75
    results
    0.74
    Activations Density 0.030%

    No Known Activations