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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. 6468
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    INDEX
    Explanations

    numerical values, specifically related to financial figures and investments

    oai_token-act-pair · gpt-3.5-turbo

    financial figures and investments

    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
    odox
    -0.82
    redd
    -0.75
    heter
    -0.73
    eda
    -0.67
    xual
    -0.67
    pn
    -0.66
    Monitor
    -0.66
    uncture
    -0.65
    sit
    -0.65
     deg
    -0.64
    POSITIVE LOGITS
     dollars
    1.07
    -$
    1.00
     USD
    0.98
     reimburse
    0.95
     royalties
    0.90
     treasury
    0.90
     rebate
    0.89
     Dollars
    0.85
     reimbursement
    0.85
     coffers
    0.85
    Activations Density 0.500%

    No Known Activations