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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. 12654
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    Explanations

    words related to money and funding

    oai_token-act-pair · gpt-3.5-turbo

    references to financial allocations and funding

    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
    76561
    -0.76
    erers
    -0.68
     Sour
    -0.66
    Afee
    -0.65
     Rebell
    -0.65
     propriet
    -0.64
    pict
    -0.64
     experien
    -0.63
     FIGHT
    -0.63
    ãĤ¦ãĤ¹
    -0.63
    POSITIVE LOGITS
     allocated
    1.22
     appropriated
    1.11
     allocations
    1.04
     appropriations
    0.97
     allotted
    0.97
     sequest
    0.96
     allocation
    0.93
     expended
    0.91
     reimburse
    0.91
     expenditures
    0.90
    Activations Density 0.171%

    No Known Activations