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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. 4-RES-JB
    11. 19902
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    INDEX
    Explanations

    mentions of money and funding in relation to various programs and projects

    oai_token-act-pair · gpt-3.5-turbo

    references to financial resources and expenditures

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

    No Comments

    Negative Logits
    pload
    -0.74
     Naked
    -0.72
     Leica
    -0.71
     Fever
    -0.69
    Else
    -0.69
     Malt
    -0.67
     Sour
    -0.67
     Famous
    -0.65
     Stir
    -0.65
     propriet
    -0.65
    POSITIVE LOGITS
     allocated
    1.12
     allocations
    1.11
     appropriated
    1.06
     reimburse
    1.05
     appropriations
    1.02
     budgets
    0.97
     Appropriations
    0.96
     reimbursement
    0.95
     dollars
    0.94
     wasteful
    0.93
    Activations Density 0.180%

    No Known Activations