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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. 6-RES-JB
    11. 7199
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    Explanations

    NASDAQ stock symbols

    oai_token-act-pair · gpt-3.5-turbo

    mentions of stock market ticker symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naires
    -0.83
    ãĢIJ
    -0.69
    headers
    -0.68
    interrupted
    -0.63
     Weinstein
    -0.61
    response
    -0.60
    ffen
    -0.59
     disproportion
    -0.59
     skeletons
    -0.59
     payable
    -0.58
    POSITIVE LOGITS
    DAQ
    2.05
    daq
    1.33
    NAS
    1.19
    TY
    1.02
    CAR
    0.99
    emonic
    0.91
    pace
    0.89
    IFIED
    0.88
    ELY
    0.86
    IUM
    0.84
    Activations Density 0.020%

    No Known Activations