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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. 7-RES-JB
    11. 3021
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    Explanations

    phrases related to financial or economic aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical risks and comparisons related to health and income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pires
    -0.67
     awaits
    -0.62
     hangs
    -0.62
     comes
    -0.57
    eport
    -0.57
     extradition
    -0.56
     accuses
    -0.56
     Travels
    -0.55
     brings
    -0.55
     publishes
    -0.55
    POSITIVE LOGITS
    ranged
    0.73
     theirs
    0.73
    ".[
    0.70
     attRot
    0.70
    .[
    0.69
    were
    0.67
    amount
    0.67
     themselves
    0.66
    >.
    0.65
    Was
    0.65
    Activations Density 1.776%

    No Known Activations