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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. 16269
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    INDEX
    Explanations

    mentions of potential situations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to potential or possible future events or candidates

    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
    ulu
    -0.83
    zee
    -0.81
    ware
    -0.81
    antry
    -0.79
    define
    -0.79
    bane
    -0.78
    mson
    -0.77
    lishes
    -0.76
    lite
    -0.76
    mt
    -0.75
    POSITIVE LOGITS
     future
    1.09
     successors
    1.03
     pitfalls
    0.99
     replacements
    0.97
     culprit
    0.95
     outcomes
    0.94
     conflicts
    0.91
     candidates
    0.90
     futures
    0.88
     winners
    0.88
    Activations Density 0.067%

    No Known Activations