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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. 19724
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    Explanations

    specific numerical ranges mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    expressions of approximate quantities or ranges

    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
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    Negative Logits
    ESE
    -0.71
    BLIC
    -0.65
     Redmond
    -0.64
    ETS
    -0.61
    ergic
    -0.60
    rules
    -0.58
    /"
    -0.58
    PDATE
    -0.55
    ocrat
    -0.55
    ered
    -0.55
    POSITIVE LOGITS
    chard
    1.29
    acles
    1.16
    acle
    1.06
    acular
    1.03
    chid
    0.94
    nam
    0.92
    gy
    0.89
    phan
    0.89
    thodox
    0.89
     even
    0.84
    Activations Density 0.039%

    No Known Activations